• SIG-Natural Computing

    日本人工知能学会

    ナチュラルコンピューティング研究会

    "understand the nature as computing"

    - 計算美学研究小グループ

    - 感覚設計論研究小グループ (H26 発足)

    Computation is an intrinsic feature of natural and artificial systems because almost all of them can transform information in a predictable or programmable way. We witness experimental prototypes of natural computers: plasmodium computers, reaction-diffusion processors, amorphous computers, DNA computers, and theoretical paradigms: cellular automata, artificial chemistry, P-systems, evolutionary computing, neural networks. Fine mechanics of computation may significantly differ from system to system and even be somewhere ambiguous. This workshop aims to bring together computer scientists, biologists, physicists, mathematicians, electronic engineers, aestheticians and so on to critically assess present findings in the field, and to outline future developments in natural computing.

    自然計算とは、自然のアルゴリズム的理解とその応用です.. SIGNACは分子ロボット・分子計算,セルラーオートマトン,P SystemsやChemical Reaction Systemsのような計算論をコアとして,たとえば触覚による計算など,自然メディアや,自然系そのものを計算系とする研究についての研究会です.

  • SIGNAC 第36回研究会

    人工知能学会合同研究会

    2021年11月27日 (土)

     

    予稿集(PDF) <-クリックするとダウンロードできます

     

    ※ 成瀬先生の講演時間が誤っておりました。

    お詫びして訂正いたします。

     

    第36回 <ナチュラルコンピューティング>研究会 (SIG-NAC)

     

    14:10-14:40 【招待講演】:光を用いた強化学習の研究

    ○成瀬 誠 (東京大学 情報理工学系研究科システム情報学専攻/工学部計数工学科)

     

    14:40-15:10 【招待講演】:分子ロボティクスから分子サイバネティクスへ

    ○村田 智 (東北大学大学院工学研究科 ロボティクス専攻分子ロボティクス

    分野)

     

    15:15-15:30  3次元周期タイリングにおけるコロナ極限

    ○北川大輝 (広島大学大学院 先進理工系科学研究科), 今井克暢 (広

    島大学大学院 先進理工系科学研究科)

     

    15:30-15:45 化学反応ネットワークを用いた Reservoir Computing の性能向上

    ○伊藤 美賀 (お茶の水女子大学大学院 人間文化創成科学研究科), <オベル

    加藤 (お茶の水女子大学大学院 人間文化創成科学研究科)

     

    15:45-16:00 ヤフーニュースにおけるアクセスランキングとコメントランキングの時系列データの分析

    ○酒井 新太朗 (名古屋大学大学院情報学研究科), 鈴木 泰博 (名古屋

    大学大学院情報学研究科)

     

    16:00-16:15 Analytics of Ambient-ブーバキキ効果を用いた音と印象との紐付けによる雰囲気解析への応用

    ○浅井 睦

     

    16:15-16:30 温冷刺激と触錯覚現象の融合によって生起する新たな触り心地の基礎調査

    ○小村 啓 (九州工業大学大学院工学研究院機械知能工学研究系)

     

    16:30-16:45 深層学習法による爪色三軸触覚センサの較正

    ○陳 彦東 (名古屋大学大学院情報学研究科), 大岡 昌博 (名古屋大学

    大学院情報学研究科)

     

    16:45-17:00 低周波振動触覚:Deep Micro Vibrotactile, DMV による音場修飾効果

    ○鈴木 泰博 (<名古屋大学大学院情報学研究科)

     

    17:00-17:15 DMV 刺激による高齢者認知機能に対する効果の検討

    ○大田 秀隆 (秋田大学高齢者医療先端研究センター)

     

    合同研究会への参加登録をお願いします

    参加登録はこちら

     

    お問い合わせ

    ysuzuki@i.nagoya-u.ac.jp

     

     

  • SIGNAC 第34回研究会

    人工知能学会合同研究会

    2020年11月21日 https://www.ai-gakkai.or.jp/sigconf/ (オンライン)

     

    10月9日

    アブストラクト締め切り

    (タイトル,所属, 要旨 300文字程度)

    11月9日

    抄録締め切り

    JSAIフォーマット 2ページ程度

    また合同研究会への参加登録をお願いします LINK

     

    アブストラクト・原稿の」送付先&お問い合わせ

    鈴木泰博 (名古屋大学)

    suzuki.yasuhiro@f.mbox.nagoya-u.ac.jp

     

    人工知能学会合同研究会
    2020年 11月21日
    第<34>回 <ナチュラルコンピューティング>研究会

    (SIG-NAC)

    プログラム/予稿(Link)
    9:00-9:55 【合同企画】オープニング・セッション


    10:00-10:30 【招待講演】:分子ロボット共創環境とその将来展望
    ○<小長谷 明彦> (東京工業大学大学院)


    10:30-10:45 セルオートマトンの自己安定性とスマートマテリアル
    ○<萩谷 昌己> (東京大学大学院)


    10:45-11:00 セル・オートマトンの設計にARデバイスは役に立つか?
    ○中原 良真 コン ギルタク 今井克暢, (広島大学)
    — — — — — — — — — — — — — — — — — — — — — — —
    11:00-11:10 Tactileology 触覚学とその展開
    ○鈴木 泰博, (名古屋大学大学院)


    11:10-11:25 振動触覚刺激の認知症への適用
    大田 秀隆, ○鈴木泰博(秋田大学 高齢者医療先端研究センター)


    11:25-11:40 触覚のGestaltの定式化
    ○小村 啓, (九州工業大学)


    11:40-11:55 インフォモーションと触譜
    ○大岡 昌博, (名古屋大学大学院)

  • SIGNAC 第33回研究会

    人工知能学会合同研究会

    2019年11月22日 慶應義塾大学理工学部

    「モノによる計算」

     

    DNAや分子による計算など,計算のパラダイムは

    これまでのPCからnon PC(電子計算機に拠らない計算)へと

    変化しはじめています.このあたらしい

    「モノによる計算 パラダイム」は,

    • DNAや細胞など「モノをつかった計算」,
    • 自然系そのモノを計算系とみなす「モノの計算化」
    に大別されます.本研究会ではこの2つの方向から
    「モノによる計算」の現状と今後について議論します.

     

    発表参加の場合

    9月23日

    アブストラクト締め切り

    (タイトル,所属, 要旨 300文字程度)

    11月8日

    抄録締め切り

    JSAIフォーマット 2ページ程度

    また合同研究会への参加登録をお願いします LINK

    発表されない場合

     

    招待講演・発表者を含むみなさま

    事前参加登録 LINK をお願いします

     

    全てのお問い合わせ:鈴木泰博 (名古屋大学)


    プログラム
    15:00-15:30

    招待講演:物理リザバーコンピューティングの最新動向
    ○田中剛平 (東京大学大学院)


    15:30-16:00

    招待講演:波動計算
    ○片山泰尚 (日本IBM)


    16:00-16:20

    招待講演: DNA分子計算の現状と今後について
    ○川又生吹(東北大学大学院)


    16:20-16:40

    招待講演:A Theory of Chemical Reaction Computing
    ○大久保文哉 (高千穂大学)


    16:40-16:50 休憩


    16:50-17:05

    触覚計算系とその展開
    ○鈴木泰博(名古屋大学大学院)


    17:05-17:20

    触覚のGestaltが生み出すVR
    ○小村啓(名古屋大学大学院), 大岡昌博(名古屋大学大学院)


    17:20-17:35

    VAEによる分子反応ネットワークの探索
    ○山﨑瑛梨佳(お茶の水女子大学大学院), オベル加藤ナタナエル(お茶の水女子大学大学院)


    17:35-17:50

    サロゲートモデルによる人工免疫アルゴリズムOpt-IAの改善
    ○阪中裕子(お茶の水女子大学大学院), オベル加藤ナタナエル(お茶の水女子大学大学院)


    17:50-18:05

    自己安定ゲルオートマトンについて
    ○萩谷昌己(東京大学大学院), 矢川晃(東京大学大学院),

    本宮泰河(東京大学大学院)


    18:05-18:20

    A representation of one-dimensional two-state number conserving cellular automata based on their value-1 rule patterns
    ○今井勝喜(広島大学大学院)

  • SIGNAC 第31回研究会

    人工知能学会合同研究会

    2018年11月22日 慶應義塾大学理工学部

    「Tactileology =触覚+アルゴリズム」の展開

     

    これまで触覚には”時間”がありませんでした.音楽のように触覚がさまざまに時間とともに変化する音楽での「楽譜」あたるものに「触譜」があります.触譜とは触覚のアルゴリズム記述言語です.

     

    この研究会では世界的に活躍されている映画監督・映像作家の石橋義正さんをお迎えして触譜によるあたらしい触覚学, Tactileologyの可能性を探ります.

     

    ・参加費は無料です

    ・事前登録をお願いします

     

    プログラム

    15:00-15:30

    自然計算としてのあたらしい触覚学の創成

    〜人間計算機の構築にむけて
    鈴木泰博 (名古屋大学大学院情報学研究科)


    15:30-16:00 招待講演1:触譜入門
    鈴木理絵子 ((株) ファセテラピー)


    16:00-16:50 招待講演2:いいかげんな話
    石橋義正 (京都市立芸術大学 美術研究科)


    16:55-17:10 【パネルディスカッション】:

    アルゴリズム・触覚・あたらしいメディア
    石橋義正,鈴木理絵子,鈴木泰博(司会)
    17:10-18:00 【ワークショップ】:

    デモンストレーション・触譜+触覚+アルゴリズムによる新しい振動触覚メディアのデモンストレーション,触譜家による触譜の展示

     

    お問い合わせ:鈴木泰博 (名古屋大学)

  • NEWS

    Seventh International Conference on the Foundations of Information Science FIS 2017: Structure, Dynamics, Complexity in the Informational Nature

    Call for Papers

    We invite contributions which use the informational perspective to explore the issues associated with concepts of structure, dynamics and complexity encountered in nature and to resolve problems related to limitations and challenges associated with them. For instance, the problem of overcoming the limitations of complexity (one of the greatest challenges of present time) may find solution through nature inspired innovative forms of computation exemplifying dynamics of information. On the other hand, our increasing understanding of computation or dynamics of information may give us novel methods of exploration of nature. Reflection on this and other challenges will be of great interest for the conference.

    We do not set any limitations on the way the mutual relations between the key concepts of structure, dynamics and complexity in informational nature are studied, but we expect that the concept of information will serve well as a point of reference for the exchange of views between participants of the conference. This does not preclude that one of the most frequently invoked questions in the discussions probably will be “What is information?”

    Deadline for Submission of Extended Abstracts: April 15, 2017

    Submission of Extended Abstracts:http://is4si-2017.org/submissions/

    Contacts

    Marcin J. Schroeder, Akita International University, Japan
    e-mail: mjs@aiu.ac.jp

    Gordana Dodig-Crnkovic, Chalmers University of Technology, Sweden
    e-mail: dodig@chalmers.se

    Pedro C. Marijuan IACS, Zaragoza, Spain
    e-mail: marijuan@unizar.es

  • 自然知能研究グループ-SIGNAC-電子情報通信学会 複雑コミュニケーション科学研究部会 合同研究会

    2017年3月10日, 11日(金, 土)
    東京工業大学大岡山キャンパスELSI-2(石川台8号館)
    4F会議室
    主催: 自然情報グループ
    共催: SIGNAC
    併催: 電子情報通信学会・複雑コミュニケーション科学研究会(CSS)
    参加費無料

  • 13th International Workshop on Natural Computing (IWNC)

    @IS4SI 2021
      https://summit-2021.is4si.org

    FRIDAY, September 17,

    4:00-12:30 UTC

    IS4SI 2021

    The 2021 Summit of the International Society for

    the Study of Information

    The series of International Workshops on Natural Computing initiated in 2006 grew up from the original interest in molecular computing. However, within the years following this original initiative the topic of natural computing became one of main directions of study in several disciplines. Natural processes or even entire life started to be considered a form of information processing with characteristics of computing. On the other hand, information processing in natural systems became a source of inspiration for innovation in computer science, artificial intelligence and engineering. Moreover, computer simulation became a common tool for the study of nature.


    The plan for the Workshop was cancelled in 2020 due to the global outbreak of the new coronavirus. Since it is difficult to predict the future conditions the Workshop is planned in the online format along with the cluster of other conferences of the 2021 IS4SI Summit. This will be a unique opportunity to engage in the interaction and discussion with participants of multiple conferences of the Summit.


    Following this general trend of mutual interactions of disciplines, the 13th International Workshop on Natural Computing continues already established tradition of the IWNC series to devote its sessions to the recent and future developments in research, practice, philosophical reflection and creative activity within the crossroads of nature, computing, information science, cognitive science, study of life and culture.


    The 13th International Workshop on Natural Computing will be associated with the symposium on Morphological, Natural, Analog and Other Unconventional Forms of Computing for Cognition and Intelligence, which has its own tradition within the Summits of IS4SI.


    The intention of the 13th International Workshop on Natural Computing is to bring together a very wide range of perspectives from philosophical to scientific ones, to visions of artists. There will be an opportunity to present original and creative contributions without any restriction by disciplinary divisions or the level of advancement of research. Contributions from the beginning of the academic or intellectual career are as welcome as those from its peak.

     

    PAST WORKSHOPS IN THE IWNC SERIES:

    1st, Dec 14-15, 2006 : University of West-England, Bristol, UK
    2nd, Dec 10-13, 2007 : Nagoya University, Nagoya, Japan
    3rd, Sept. 23, 2008 : Yokohama National University, Yokohama, Japan
    4th, Spet, 23-19, 2009 ; Himeji International Exchange Center, Japan
    5th, Sept, 21, 2010 ; Ascoli Piceno, in ACRI2010, Italy
    Mar, 15-16, 2011; as "Winter School of Hakodate", Future University Hakodate, Japan
    6th, Mar, 28-30, 2012; Tokyo University, Tokyo, Japan
    7th, Mar, 20-22, 2013; Tokyo University, Tokyo, Japan
    8th, Mar, 18-19, 2014; YMCA, Hiroshima, Hiroshima, Japan

    9th, Mar. 15, 2015; Tokyo University, Tokyo, Japan

    10th, May 14-15, 2016; Akita International University, Akita, Japan

    11th, May 13-14, 2017, Akita International University, Akita, Japan

    12th, May 26-27, 2018, Akita International University, Akita, Japan

     

    ORGANIZING COMMITTEE:
    Marcin J. Schroeder (Tohoku University, Japan) <mjs@gl.aiu.ac.jp>
    Masami Hagiya (Tokyo University, Japan) <hagiya@is.s.u-tokyo.ac.jp>
    Yasuhiro Suzuki (Nagoya University, Japan) <ysuzuki@nagoya-u.jp>
    Gordana Dodig-Crnkovic (Chalmers University, Sweden) <gordana.dodig-crnkovic@chalmers.se>


    PLEASE FORWARD THIS ANNOUNCEMENT TO ANYONE WHO MAY BE INTERESTED IN PARTICIPATION.

     

     

    SCHEDULE OF PRESENTATIONS AND PANEL DISCUSSION OF 13th INTERNATIONAL WORKSHOP ON NATURAL COMPUTING (IWNC)

    FRIDAY, September 17, 4:00-12:30 UTC

    PLEASE CHECK FOR POSSIBLE UPDATES ON THE SUMMIT WEB PAGE

    PLENARY SESSION FOR THE SUMMIT (4:00-7:00 UTC)

    INVITED SPEAKERS

    4:00-5:00 UTC: Genaro J. Mart´ınez – “Machines computing and learning?”

    5:00-6:00 UTC: Andy Adamatzky – “Computing with slime mould, plants, liquid marbles and fungi”

    6:00-7:00 UTC: Panel Discussion “Natural Question about Natural Computing”

    Confirmed Panelists: Andy Adamatzky, Yukio-Pegio Gunji, Masami Hagiya, Genaro J. Mart´ınez, Yasuhiro Suzuki.

     

    IWNC CONFERENCE SESSION (7:30-12:30 UTC)

    (Only names of presenters without co-authors are displayed)

    7:30 – 8:00 UTC: Yasuhiro Suzuki – “Natural Computing Systems with Tactile Sense”

    8:00 – 8:30 UTC: Pedro Marijuan – “The Paradigm of Natural Intelligence”

    8:30 – 9:00 UTC: Katsunobu Imai – “On sustainable self-explanatory executable document”

    9:00 – 9:30 UTC: Attila Egri-Nagi – “Advancing human understanding with deep learning Go AI engines”

    9:30 – 10:00 UTC: Igor Balaz – “Evolution of functionality as the emergence of logical

    structures”

    10:00 – 10:30 UTC: Marcin J. Schroeder – “Learning Computing from Nature: Reflection on the Klein Four-Group”

    10:30 – 11:00 UTC: Kenichi Morita – “Composing reversible computers in a reversible and conservative environment”

    11:00 – 11:30 UTC: Masami Hagiya – “Three Models of Gellular Automata”

    11:30 – 12:00 UTC: Alan B. Cerna-Gonz´alez – “Tag Systems and their Spatial Dynamics with Cellular Automata”

    12:00 – 12:30 UTC: Mark Burgin – “Validation and correction of information by computing automata”

    BOOK OF ABSTRACTS 

    INVITED LECTURES

    (TO BE DELIVERED AT PLENARY SESSION OF IWNC):

    down load (PDF) --> (Click)

     

    Friday, September 17, 2021, 5:00-6:00 UTC:
    Computing with slime mould, plants, liquid marbles and fungi
    Andy Adamatzky

    Unconventional Computing Lab, UWE, Bristol, UK
    andrew.adamatzky@uwe.ac.uk

     

    Dynamics of any physical, chemical and biological process can be interpreted as a computation. The interpretation per se might be non-trivial (but doable) because one must encode data and results as states of a system and control the trajectory of a system in its state space. One can make a computing device from literally any substrate. I will demonstrate this on the examples of computing devices made from slime mould Physarum polycephalum, growing plant roots, vascular system of a plant leaf, mycelium networks of fungi and liquid marbles. The computing devices developed are based on geometrical dynamics of a slime mould’s protoplasmic network, interaction of action potential like impulses travelling along vasculates and mycelium networks, collision-based computing of plant roots’ tips and droplets of water coated by hydrophobic powder. Computer models and experimental laboratory prototypes of these computing devices are presented.

     

    Friday, September 17, 2021, 4:00-5:00 UTC:
    Machines computing and learning?
    Genaro J. Mart´ınez

    Artificial Life Robotics Laboratory, Escuela Superior de C´omputo, Instituto Polit´ecnico Nacional, M´exico.
    Unconventional Computing Lab, University of the West of England, Bristol, United Kingdom.
    genarojm@gmail.com


    A recurrent subject in automata theory and computer science is an interesting problem about how machines are able to work, learn, and project complex behavior. In this talk, particularly I will discuss how some cellular automata rules are able to simulate some computable systems from different interpretations, it is the problem about universality. These systems are able to produce and handle a huge number of information massively. In this context, an original problem conceptualized by John von Neumann from the 40s years is: How primitive and unreliable organisms are able to yield reliable components? How machines could construct machines? In biological terms it refers to the problem of self- reproduction and self-replication. In our laboratories, implement these problems in physical robots, where some particular designs display computable systems assembled with modular robots and other constructions display collective complex behavior.

     

    Modular robots offer the characteristic to assemble and reconfigure every robot. In Particular, we will see in this talk a number of robots constructed by Cubelets to simulate Turing machines, Post machines, circuits, and non-trivial collective behavior. We will discuss if these machines learn and develop knowledge as a consequence of automation and information.


    References
    [1] Mart´ınez, G.J., Adamatzky, A., Figueroa, R.Q., Schweikardt, E., Zaitsev, D.A., Zelinka, I., & Oliva-Moreno, L.N. (2021) Computing with Modular Robots, submitted.
    [2] Mart´ınez, S.J., Mendoza, I.M., Mart´ınez, G.J., & Ninagawa, S. (2019) Uni- versal One-dimensional Cellular Automata Derived from Turing Machines. International Journal Unconventional Computing, 14(2), 121-138.
    [3] Mart´ınez, G.J., Adamatzky, A., Hoffmann, R., D´es´erable, D., & Zelinka, I. (2019) On Patterns and Dynamics of Rule 22 Cellular Automaton. Complex Systems, 28(2), 125-174.
    [4] Figueroa, R.Q., Zamorano, D.A., Mart´ınez, G.J., & Adamatzky, A. (2019) A Turing machine constructed with Cubelets robots. Journal of Robotics, Networking and Artificial Life 5(4) 265–268.
    [5] Mart´ınez, G.J. & Morita, K. (2018) Conservative Computing in a One- dimensional Cellular Automaton with Memory. Journal of Cellular Au- tomata, 13(4), 325-346.
    [6] Mart´ınez, G.J., Adamatzky, A., & McIntosh, H.V. (2014) Complete char- acterization of structure of rule 54. Complex Systems, 23(3), 259-293.
    [7] Mart´ınez, G.J., Seck-Tuoh-Mora, J.C., & Zenil, H. (2013) Computation and Universality: Class IV versus Class III Cellular Automata. Journal of Cellular Automata, 7(5-6), 393-430.
    [8] Mart´ınez, G.J., Adamatzky, A., & Alonso-Sanz, R. (2013) Designing Com- plex Dynamics in Cellular Automata with Memory. International Journal of Bifurcation and Chaos, 23(10), 1330035-131.
    [9] Mart´ınez, G.J., Adamatzky, A., Morita, K., & Margenstern, M. (2010). Computation with competing patterns in Life-like automaton. In: Game of Life Cellular Automata (pp. 547-572). Springer, London.
     


    Moderator’s Introduction to IWNC Discussion
    “Natural Question about Natural Computing”
    Marcin J. Schroeder

    The panel discussion is scheduled on Friday,

    September 17, 6:00-7:00 UTC

    within the plenary session for IWNC after the two Invited Talks.

    Panelists: Andy Adamatzky, Yukio-Pegio Gunji, Masami Hagiya, Genaro J. Mart´ınez, Yasuhiro Suzuki.

    Introduction
    The question about Natural Computing may be natural but the attempt to answer it by providing a formal definition would be pointless. Definitions of concepts serve the purpose of closing them into an existing framework of concepts with the already established intention or meaning. Natural computing is an open idea that serves the opposite purpose to transcend the currently dominating paradigm of computing. The qualifier “natural” that for centuries was a subject of philosophical disputes is used here not in the restrictive sense. After all, its common-sense negation “artificial” is associated with human skills or competencies which there is no reason to consider non-natural or at least inconsistent with human nature, human inborn capacities.


    This conference is the 13th in the long series of International Workshops on Natural Computing whose participants and contributors have had diverse ways of understanding this subject. However, there was never a risk of mutual misunderstanding and there is no such risk now. What was and is common and uniting in these diverse inquiries can be expressed as the search for dynamic processes involving information that have all or some characteristics of computing, but are different from it in the form and means of implementation, procedural description, intention, outcomes, etc. The adjective “natural” reflects the interest in natural processes studied in several different disciplines of science independently from any application in computing, but it did not exclude the interests in the dynamics of information in cultural, social contexts of human life. Just opposite, Natural Computing is an attempt to bridge technological interests with natural aspects of information processing to transcend the limitations of computing, including the limitations of its present applications.


    The panelists represent diverse directions of research and study within Natural Computing. I would like to ask them the question: “Quo Vadis?” (Where are you going?) Unlike in the Scriptural origin of this question, this is not a call to return to Rome. It is a request for sharing with the audience panelists’ vision of the direction and future of Natural Computing. This is a question about their motivation to pursue this path of inquiry. Finally, the panelists may choose to reflect on the more general question of the future not just of Natural Computing but Computing in general.
    ***


    CONTRIBUTED PAPERS IN THE ALPHABETIC ORDER OF FIRST AUTHORS:

    Evolution of functionality as the emergence of logical structures
    a) Igor Balaza, b) Koji Sawab, c) Tara Petrica

    a) Laboratory of Meteorology, Biophysics and Physics, University of Novi Sad, Serbia
    b) Center for Learning Support and Faculty Development,

    c) Doshisha University, Kyoto, Japan
    Corresponding author: igor.balaz@df.uns.ac.rs

     

    During evolution, in order to survive, living systems gradually develop a useful approximation of their environment. During that process, organisms have to perceive environmental properties and either incorporate them into existing functional traits or create entirely novel functional combinations.


    Here, we create an agent-based system where agents can evolve an internal frame of reference against which they can functionally distinguish environmental properties. Basic elements of the frame of reference are segregation (ability to distinguish environmental objects) and categorization (ability to develop a variety of functional responses to an observed environmental object). Both segregation and categorization parameters are not predefined. Instead, they are defined during the evolutionary process as a function of their contribution towards the agent’s survival. Therefore, the evolutionary development of the frame of reference is not externally guided but is driven by the internal emergence of systemic functionality. As a result, an arbitrary property of the environment becomes either (i) a proper signal that triggers a set of adaptive actions; (ii) a functionally unimportant background signal that is ignored.


    In the model, the frame of reference of each agent is implemented as a growing complex network with randomly added nodes. Nodes are elementary functions (move, observe, transform …) while links between them indicate pair ordering, with an assigned probability of execution. The behaviour of agents is governed by the network structure. At each time step, the network topology can change in two fundamental ways: (i) a randomly chosen node is either added or removed to/from a random location in the network and (ii) new random links can be added to a network or existing random links can be removed. With such rewiring, we simulate the evolution of embodied cognition. The behaviour of agents on each time step is determined by traversing through their internal networks. If a node has multiple links, the order of path execution in a certain time step is determined according to the probability of execution. Each agent can develop multiple internal networks. Agents compete for limited resources and their evolution is governed by natural selection. Over time, selection strongly favours the emergence of networks that build a proper frame of reference by first identifying environmental signals and then execute a set of adaptive actions.


    As a next step, we analyze logical structures that appear and grow during the evolution by transforming growing random complex networks into graphs that represent formal logic. An arbitrary directed graph does not necessarily hold all the properties of formal logic. Therefore, we first determine necessary axioms (e.g. axiom of pairing, the composition of logical connectives, the emergence of transitive law). Then, we analyze temporal (composition of functions by ordered pairs) and spatial (representation by non-ordered pairs) logical properties. We finally discuss the parallel generation of functionality and logical structures with spatial and temporal aspects.

     

    Validation and correction of information by computing automata
    Mark Burgin and Karthik Rajagopalan

    UCLA, Los Angeles, California, USA
    markburg@cs.ucla.edu

     

    Learning is an important category of information acquisition. Machine learning utilizes automata for learning in general and language learning in particular. In addition, abstract automata are used for modeling learning by people. In this work, analyzing how people learn natural languages, we develop a new approach to modeling and performing language learning by abstract automata. This allows treating natural language learning as natural computing.


    The conventional models of natural language acquisition assumes that in the process of learning, children, as well as adult learners, find out and memorize the correct words, rules of generating sentences, and rules of their utilization. However, this picture misses an important peculiarity of the learning process. Namely, people also gain knowledge of incorrect words and sentences and this knowledge helps not to use incorrect linguistic constructions in communication.


    To model this process, we introduce a new type of computational automata called selective machines. A selective machine can not only generate (compute) words and texts but also eliminate (uncompute) words and texts. This property allows achieving higher power and lower complexity in computations.
    A selective machine M has positive and negative processors which accept/recognize words.


    The difference between positive and negative processors is their purpose of computation. Positive processors accept or recognize tentative (or possible) elements of a language. However, it is not assumed that all of them are correct (belong to the language under construction). The goal of negative processors is to recognize those elements that do not belong to the language under construction, that is, are incorrect. This allows building a language by the procedure where at first, tentative (or possible) elements of the language are extracted and then the incorrect words are eliminated.
    We remind that a language L is accepted or recognized by a conventional automaton (machine) M, such as a finite automaton or a Turing machine, if this automaton accepts all words from L and only these words. It is denoted by LM or L(M) and is also called that language of the machine M.


    In the case of selective machines, we have two types of languages.
    The positive language L(MP) of a selective machines M is the language accepted/recognized by all positive processors of M.
    The negative language is defined in a similar way.
    The negative language L(MN) of a selective machines M is the language rejected/eliminated/prohibited by any of the negative processors of M.
    Positive and negative languages together recognize the language of selective machines in the following way.


    The language L(M) = L(MP) \ L(MN) is the language of the selective machine M.
    Taking two classes K and H of automata (algorithms), we denote by K/H the class of all selective machines, in which the positive processors are automata from K and the negative processors are automata from H.
    We remind that the recognizing linguistic power RL(A) ( RL(Q) ) of an automaton A (a class Q of automata) is the class of all formal languages recognized by the automaton A (by the automata from the class Q).


    The goal of this work is to study the recognizing linguistic power of different classes of selective machines, for example, such as FA/TM or TM/TM, and compare their powers with the recognizing linguistic power of different classes of the basic classes of conventional recognizing automata, such as the class FA of all finite automata with a given alphabet, class TM of all Turing machines or class ITM of all inductive Turing machines.


    It is possible to ask the question why the same automaton cannot generate words and exclude those that do not belong to the language under construction. The answer is yes it is possible but the results proved by the authors demonstrate that in many important cases, two automata – one positive and another negative, which belong to the same class K (for example, both are Turing machines) can generate, describe and recognize much more languages than one automaton from this class K (one Turing machine) can do.


    To conclude, it is necessary to remark that before this approach to learning was studied in the context of formal grammars (Burgin, 2005; Carlucci, et al, 2009; Case and Jain, 2011). Here we explore learning as a natural information acquisition process modeling it with computing automata.


    References
    1. Burgin, M. Grammars with Prohibition and Human-Computer Interaction, in “Proceedings of the Business and Industry Simulation Symposium,” Society for Modeling and Simulation International, San Diego, California, 2005, pp. 143-147
    2. Carlucci, L., Case, J. and Jain, S. Learning correction grammars. J. Symb. Logic, 74, 2009, 489-516
    3. Case, J. and Jain, S. Rice and Rice-Shapiro theorems for transfinite correction grammars, Math. Logic Quarterly, 57(5), 504-516 (2011)


    Tag Systems and their Spatial Dynamics with Cellular Automata
    Alan B. Cerna-Gonz´alez 1, Genaro J. Mart´ınez1,2,3 Andrew Adamatzky 2, Guanrong Chen 3

    1 Artificial Life Robotics Laboratory, Escuela Superior de C´omputo, Instituto Polit´ecnico Nacional, M´exico.
    2 Unconventional Computing Lab, University of the West of England,
    Bristol, United Kingdom.
    3 Centre for Chaos and Complex Networks, City University of Hong Kong, Hong Kong, China
    email: acernag1500@alumno.ipn.mx

     

    In 1920, Emil L. Post had developed a string rewriting logistic computational model that is a simple form of the normal canonical Post machine, this machine receives a string read the first symbol, deletes a constant number (defined by a deletion number P ) of symbols at the be- ginning and appends, according to the symbol found at the beginning of the string, a string of symbols at the end (called production rule), this happens until there is not a sufficient number of symbols to delete or it is reached by halt symbol. Tag systems has applications on pure mathematics, logic, computation and, in recent proposals, physics. Cellular automata have been used for discrete modelling of dynamic and complex systems, their parallel computing capacity and the simplicity that make them as a functional and efficient tool. Also, cellular automata are able to express formal language into their evolution space. Both tag systems and cellular automata have been used to simulate universal Turing machines. This way, we research the production of strings from a tag system as a dynamical system evolution and show some particular cellular automata rules simulating specifically some tag systems. We discuss about how cellular automata can be used as a tool in tag systems evolution, by using the rules that we found and some tag systems. We also discuss the theory and computational model of parallel evolution of a tag system based on cellular automata. The basic idea of this analysis is based on the action of dynamics, which is relevant to the conceptualisation of the evolution of the overall system. A cellular automaton can be characterised by its evolution. The characterisation of the entire system depends on its behaviour. So, the tag systems that we simulated can be characterised on the spatial behaviour of the equivalent cellular automata.

     

    Advancing human understanding with deep learning Go AI engines
    Attila Egri-Nagy & Antti Törmänen

    Akita International University, Akita Japan
    egri-nagy@aiu.ac.jp


    Improvement is a central issue for all serious players of pure skill board games. Which book to read? Which master to listen to? How to practice? Questions like this are often asked in the process of getting better. For Go players, the appearance of deep learning AI engines suddenly opened up new learning possibilities as they encode superhuman level playing skills, albeit in a black-box format. How can we improve our understanding of the game of Go by using the deep learning neural network AI engines? The research focus is shifting from creating more powerful AIs to enabling human players at all levels to benefit the technological advances. We start from the fact that the human mind has a better cognitive architecture. We have explanations, reasoning, the ability to form hypotheses and test them. In contrast, the AIs (AlphaGo and subsequent open-source implementations) are purely associative structures, mapping board positions to estimated results and good moves. From this perspective, it is somewhat ironic that a narrow AI advanced beyond the only AGI currently in existence, the human intelligence.
    Arguably, this happened several times before, but this situation is more interesting than the case of the calculator (with superhuman calculating skills) since we do not do arithmetic by intuition.


    There are two different approaches for using AIs as tools for learning about the game. We can try to open the black box of the neural network or embrace its opaque nature.
    1. Internal analysis of the neural networks - intelligible intelligence: Unlike in the brain, we have complete access to the whole neural network, down to single neurons. We can try to uncover the abstract hierarchical representation of Go knowledge inside the network by using feature visualization. However, we know that neural networks may or may not have comprehensible representations. The space of possible Go-playing neural networks may have a vanishingly small fraction in human accessible formats.
    2. Improve our learning methods: Learning at a professional level proceeds from intuitive understanding to explicit verbalizations. In the case of Go, strategic plans are explanations for what is happening on the board. Therefore, the methods of scientific knowledge creation do apply here. The AIs are inexhaustible sources of experiments providing high-quality statistical data. Growing Go knowledge can be faster by formulating plans when choosing moves rather than just looking up the best move recommended by the AIs.


    We focus on the second case and we will review the existing practices of working with AIs in the Go community and study how a more deliberate application of scientific principles can enhance the human learning process.


    Three Models of Gellular Automata
    Masami Hagiya

    University of Tokyo
    hagiya@is.s.u-tokyo.ac.jp

     

    We summarize our work on gellular automata, which are cellular automata we intend to implement with gel materials. If cellular automata are implemented as materials, it will become possible to realize smart materials having abilities such as self-organization, pattern formation, and self-repair. Furthermore, it may be possible to make a material that can learn from its environment. In this talk, we present three models of gellular automata, among which the third one is new.


    Suppose such a smart material implements an artificial blood vessel. In that case, the vessel will be autonomously formed at an appropriate place in the living body, and it will recognize its deformation or occlusion and self-repair. Furthermore, it is possible to envision smart materials that learn appropriate functions by external stimuli.
    The first model of gellular automata is based on gel walls separating cells of solutions. The gel walls are assumed to have holes that open and close by the surrounding solutions. We showed the Turing computability of the model by encoding rotary elements in the model.


    The second model is much simpler than the first one and more suitable for implementation with gels. Gel walls also separate cells of solutions, but communication between cells is realized by diffusion of signal molecules as actually implemented by Murata and his colleagues. In addition to the Turing computability, we focus on self-stability in relation to the ability of self-repair.


    We finally report our recent attempt in the third model to design gellular automata that learn Boolean circuits from input-output examples. In the model, supervised learning is realized as a kind of pattern formation. If smart materials gain such an ability, they can learn from their external environment. A cell is placed at each lattice point of a three-dimensional space. Each cell has therefore six neighbors. Some cells are specified as input nodes or output nodes. Other cells are either active or inactive. If a cell is active, it works as an OR gate. Boolean circuits are constructed in the three-dimensional cellular space. With Boolean values at input nodes, expected Boolean values at output nodes are specified as teacher signals. In other words, an example for supervised learning consists of given values at input nodes and expected values at output nodes. With each example, cells make state transitions and form a Boolean circuit consisting of OR gates between input and output nodes.

     

    On sustainable self-explanatory executable document
    Katsunobu IMAI

    Hiroshima University
    imai@hiroshima-u.ac.jp

     

    In recent years, we have been looking for a framework that can support our daily personal tasks, even in the presence of cognitive decline or fluctuations due to dementia or higher brain dysfunction. Our documents are usually not just static, but including executable documents with associated scripts. In order to ensure their readability as well as executability, careful choice of its supporting programming language and how to keep daily records are important issues.


    The condition for an "ideal" sustainable self-explanatory executable document is:
    1. I can understand and execute the documentation.
    2. If 1 is impossible, \[Exists] x, I can show the document to others and ask x to help me understand and execute it.
    3. If 1 and 2 are impossible, \[ForAll] x, x can understand and execute the document independently of me.


    These are very important settings. We have to assume that we will not only have forgotten the documents we wrote, but not be able to process them in future. However it seems quite difficult to achieve because:
    1. If your age is x years old, you need to expect the documents to be executed after 90-x years.
    2. Your cognitive level will not remain the same for the period of time.
    Over the past 50 years, many file formats for executable documents have been proposed, but most of them have been lost and only a few remain readable and executable to this day. This problem becomes more difficult because of the complexity of privacy issues related to personal documents.


    In this study, we discuss the historical background and potential applications of self-explanatory executable documents. Our goal seems hopelessly difficult to achieve, but we need to present the best possible solution. However, since a general discussion is impossible, I will only describe my personal measures to achieve this goal.

     

    The Paradigm of Natural Intelligence
    Pedro C. Marijuán

    Independent Scholar, affiliated to Aragon Institute of Health Science (IACS, Bioinformation Group), Zaragoza, 50009, Spain pcmarijuan.iacs@aragon.es


    It will be argued that intelligence is a universal phenomenon present in all forms of life. It requires a new form of relationship with the environment, implying not only openness to energy flows but to information flows as well. External information processing, coupled with internal information processing, may produce an adaptive life cycle that manifests (‘natural’) intelligence, produces meaning, and realizes fitness value. Out from the basic prokaryotic conformation, the fundamental unit of natural intelligence, this phenomenon will develop hierarchically, via multicellularity, and particularly with the evolution of animal nervous systems. Then, natural intelligence will fully develop up to the point, in the human case, of exhibiting pieces of artificial intelligence that mimic some of the basic properties of the former—but they should not be confused. In contemporary societies, the essential link between intelligence and life has to be plainly revealed as a counterpoint to the link between artificial intelligence and computation.

     

    1. THE CELL AS THE BASIC UNIT OF INTELLIGENCE

    It is argued that without a proper understanding of natural intelligence, the scientific foundations of artificial intelligence will be shaky--notwithstanding the technological grandeur it is effectively achieving. Information processing is at the heart of natural or biological intelligence, but it is very different from the way it is organized in artificial systems (Marijuán et al., 2015; Slijpevic, 2018). The living cell provides an alternative paradigm, a new conceptual panorama, where information flows, signaling systems, gene transcription and protein synthesis are contemplated as a coherent unit. It is the adaptive life cycle, which can manifest intelligence, can communicate and produce meaning, and finally is capable of evolving. In an artificial system we would be talking about perception, memory, learning, anticipation, decision-making, etc., all of them carried by means of computations. But the ‘mechanics’ of natural intelligence is utterly different.

     

    2. THE PROKARIOTIC LIFE CYCLE

    We see the life cycle of cellular sytems (the simplest ones, prokaryotes) as a trivial characteristic of life, but actually it is the most amazing information design any engineer could think of. The living cell is a system that self-constructs out from environmental stuff according to an inner blueprint that is separated from the constructive system itself (echoing von Neumann self-reproducing automata). In the distributed constructing system of multiple ribosome nanomachines we find a complex conjunction of informational architectures supported by inner ‘computational protein networks’ capable of sending their signals across distant functional areas. This vast constructive process distributed across the cell system only needs some transient copies of mRNAs and the raw basic materials. Reproduction will follow. With unencumbered repetition of the reproduction cycles, there is a tendency to excess, to fill in the ecological niche; but the emerging trophic interactions will put all participants “in their place.” Further, systemic variations affecting the blueprint will appear, becoming phenotype changes and implying differential survival; thus evolution occurs… and quite many evolutionary ‘vehicles’ will be assembled in multicellular organisms for the adaptive exploration of the new complexity scenarios, implying both DNA blueprint and interactive behavior in the coupled environment (Wagner, 2019).

     

    3. FROM EUKARYOTIC CELLS TO MULTICELLULAR ORGANISMS

    The different kind of intelligence that eukaryotic cells evolve with respect to prokaryotic cells has been discussed thoroughly in (Marijuán et al., 2010, 2013). In some sense, the further complexity growth we see in multicellular organisms is a déjà vu of the prokaryotic phenomenology. In another sense, the uncanny complexity of signaling and transcriptional processes in all the eukaryotic kingdoms of life challenges the meaningfulness of whatever simplified scheme we may propose. Nevertheless, there are a few evolutionary guidelines on the fundamentals of the ‘new eukaryotic order’: symbiosis, signaling expansion, cell-cycle modularity, and ontogenetic multicellular development.


    The further evolution of intelligence in Nature has kept pace with the progressive complexification and sophistication of the nested information flows that subtend and involve all the different realms of life (Wurtz, 2021). From the signaling pathways of unicellular prokaryotes to the signaling systems of multicellular eukaryotes, and to the central nervous systems of vertebrates, advanced mammals and anthropoids—organized not only in ecosystem networks but also in close-knit societies. This evolutionary capability to arrange complex organisms and complex organizations behaving sophisticatedly in an open-ended environment has represented the definite emergence of the phenomenon of intelligence in Nature and at the social level.

     

    4. FROM HUMAN INTELLIGENCE TO SOCIAL INTELLIGENCE

    Seemingly the linguistic capability of humans has put our societies in an entirely new path. That’s right, but we can also analyze the evolution of the information flows and the processing structures in our societies along some of the previous guidelines: both the natural information flows related to the individual lives and the artificial flows generated via technological systems. Like in the case of cells or in nervous systems, a degree of “social intelligence” might also be ascertained regarding the combined working of social entities and institutions.

     

    In human societies, the new thinking derived from natural intelligence and information science should contribute to a more cogent social management of the whole system of sciences. The art of “knowledge recombination” has to be practiced with some more scientific guidance, so that the immense body of scientific knowledge accumulated –in the order of 6,000 disciplines– becomes useful to reorient the productive system and to grant collective sustainability. A new scientific culture has to be promoted; a new dialog among theoretical and experimental scientists and philosophers from very different fields has to be established; and the natural phenomenology underlying the essential link between intelligence and life has to be plainly revealed as a counterpoint to the link between artificial intelligence and computation. In the extent to which this can be achieved, an important social mission will be fulfilled.

    References
    Marijuán, P.C., Navarro, J., del Moral, R. 2010. On prokaryotic intelligence: strategies for sensing the environment. BioSystems 99, pp: 94-103.
    Marijuán, P.C., del Moral, R., Navarro, J. 2013. On eukaryotic intelligence: signaling system’s guidance in the evolution of multicellular organization. BioSystems 114, pp: 8-24.
    Marijuán, P.C., Navarro, J., del Moral, R., 2015. How the living is in the world: An inquiry into the informational choreographies of life. Progress in Biophysics and Molecular Biology. 119 (3): 469–480.
    Slijepcevic, P. 2017. Evolutionary Epistemology: Reviewing and Reviving with New Data the Research Programme for Distributed Biological Intelligence. Biosystems. 163. 10.1016/j.biosystems.2017.11.008.
    Wagner, A. 2019. Life Finds a Way: What Evolution Teaches Us about Creativity, Oneworld Publication.
    Wurtz, T. 2021. Nested information processing in the living world. Ann. N.Y. Acad. Sci.. https://doi.org/10.1111/nyas.14612

     

    Composing reversible computers in a reversible and conservative environment
    Kenichi Morita

    Hiroshima University
    (Currently Professor Emeritus of Hiroshima University)
    km@hiroshima-u.ac.jp


    Reversibility is one of the fundamental physical laws of nature. We study the problem of how we can construct reversible Turing machines (RTMs) in an environment that obeys a reversible and conservative microscopic law. Here, we use the framework of an elementary triangular partitioned cellular automaton (ETPCA) as a spatiotemporal model of the environment. In an ETPCA, configurations evolve according to an extremely simple local transition function, and hence it is suited for investigating how simple computationally universal reversible CAs can be.


    Thus, the problem is to find an effective construction pathway that starts from a local transition function of an ETPCA, and leads to RTMs.
    In our previous research, it was shown that RTMs can be constructed systematically in a reversible and non-conservative ETPCA 0347, where 0347 is an ID number in the class of 256 ETPCAs [2,3].


    Here, we solve this problem in a reversible and conservative ETPCA 0157. In [1], a Fredkin gate, which is a universal reversible logic gate, can be realized in the cellular space of ETPCA 0157. Hence, RTMs are, in principle, realizable in this cellular space. However, if we use reversible logic gates the resulting circuit becomes very complex, since two or more signals must arrive at exactly the same time at each gate. Here, we use a reversible logic element with memory (RLEM), rather than a reversible gate, as a logical primitive. By this, the whole circuit is greatly simplified.


    Here, several conceptual levels are appropriately introduced on the construction pathway, and hence the problem is decomposed into several sub-problems. These sub-problems are the following:
    (1) Finding useful patterns and phenomena in ETPCA 0157,
    (2) making an RLEM by utilizing these phenomena,
    (3) composing functional modules for RTMs out of RLEMs, and
    (4) constructing RTMs by assembling these functional modules.
    By these steps, RTMs are constructed systematically and hierarchically even from
    a very simple local transition function.


    References
    [1] Imai, K., Morita, K.: A computation-universal two-dimensional 8-state triangular reversible cellular automaton. Theoret. Comput. Sci., Vol. 231, pp. 181-191 (2000). DOI: 10.1016/S0304-3975(99)00099-7
    [2] Morita, K.: A simple reversible cellular automaton that shows complex behavior. 11th Int. Workshop on Natural Computing (IWNC), Akita, 2017.
    [3] Morita, K.: Finding a pathway from reversible microscopic laws to reversible computers.
    Int. J. Unconventional Computing, Vol. 13, pp. 203-213, 2017.

     

    Learning Computing from Nature:
    Reflection on the Klein Four-Group
    Marcin J. Schroeder

    IEHE, Tohoku University, Sendai, Japan
    mjs@gl.aiu.ac.jp


    Qualification of computing as natural can be interpreted in many essentially different ways. It will be understood here as the functioning of models of the information transformation acquired through abstraction from similar processes in natural phenomena occurring without any engagement of the human purpose oriented action. In a slightly oversimplified form, natural computing is one which is discovered while artificial is invented. Turing Machine could qualify as natural computing device (human computers observed by Turing did not have any idea about the purpose of their work), but its special version of the Universal Turing Machine as artificial (it was not derived from an observation of a natural process and it was designed with the specific purpose of the simulation of all other Turing Machines). Another example of natural computing can be identified in the Artificial Neural Networks derived from the observation of natural neural systems. Certainly, better name would have been Abstract Neural Networks, but this is not our concern.


    The subject of this study is the quest for new and essentially different forms of natural computing. The central question is about the promising directions for exploration of natural phenomena in which new paradigms of computing could be found. An example of success in designing innovative computing can be the model of quantum computing. However, someone can question how much conceptually innovative it is (quantum phenomena where involved in the technological progress of computing devices from the very beginning) and quantum computing clearly belongs to what here is understood as artificial computing (result of the attempts to overcome the limits of speed in standard computing).


    The most likely domain of natural phenomena involving really innovative forms of information processing is life with its extremely high level of complexity and efficiency. The main assumption of this study is that the two aspects of natural information processing deserve closer inspection: the capacity of information integration and the complex hierarchic architecture of information processing reflecting the complexity of the organization of life.


    The interest in both these aspects is not entirely new. Integration of information became one of key concepts in the search for scientific explanation of phenomenal consciousness. Hierarchic architecture of neural networks is the basis for deep learning. However, in both cases there is no fundamental theoretical formulation of the idea of integration or hierarchy. Integration is identified with statistical patterns of observed simultaneous activations of neurons in terms of mutual entropy, while layers of neurons in the network with directional convergence of connections are the only hierarchic configuration considered. There is no description of the mechanism of integration or analysis of the influence of the possible alternative forms of hierarchies.


    I provided in my earlier publications mathematical model of information integration (including the description of integrating gates) and of the hierarchic architecture of computing. The former is based on the conclusions from the algebraic characterization of the degree in which a system is classical or quantum type (degree of the product irreducibility of its underlying logic). Here, I will focus on only one aspect of hierarchic organization of computing: the transition between different levels of structural complexity. The study can be summarized as an attempt to answer the question: What is the role of the humble Klein Four-Group?


    Natural Computing Systems with Tactile Sense

    Yasuhiro Suzuki
    Graduate School of Informatics, Nagoya University
    ysuzuki@nagoya-u.jp

     

    We construct a natural computing system based on the sense of touch. The natural computing system we construct does not depend on the conventional category of computer science. The computing consists of a computing entity and an algorithm. We define an algorithm as "a list of instructions for solving a problem" and a computing system as "the act or process of calculating an answer or amount by using an algorithm".
    Interactions can be divided into two types: the actor and the target of the action are clear or not. For example, in the interaction by e-mail, the actor and the target are clear. On the other hand, in daily conversation, non-verbal interactions such as facial expressions and behaviours are added to verbal interactions. Therefore, the actor and the object of action cannot be separated. The change in the other person caused by one's speech changes one's speech and facial expressions. In other words, by acting on the other person, we receive an action from the other person.


    We define this kind of ambivalent action as tactile interaction. The sense of touch is ambivalent; we can block the action of sight by closing our eyes, while we cannot close our sense of touch as we close our eyes.


    Tactile interactions are common in nature. For example, molecular and cellular interactions are tactile interactions; when a vaccine is administered to the immune system, the immune system remembers the molecules to attack. However, neither the immune system nor the target molecule is auditory. Molecular recognitions rely on tactile of the shape of molecules. In viruses, macromolecules called glycans act as molecular "tags", and proteins and glycans "touch" the cell surface to search for the most stable contact position.


    We define a tactile computing system as a system in which an algorithm designs the interaction. For example, the system of the immune system and viruses is a tactile computing system. The way the sugar molecules are arranged, i.e. the algorithm, mediates the interaction. The virus changes the arrangement of sugar molecules to escape the immune system's attack and becomes a so-called mutant. We define programming as the modification of the algorithm according to the purpose.
    We have proposed Tactile Score, TS, a notation that describes the Spatio-temporal pattern of tactile interaction. In TS, a staff notation with the third line representing the average interaction force, the lower line representing the strong interaction force, and the upper line representing the weak interaction force. The duration of the interaction force is described using musical notes. For example, if a quarter note is one second, an interaction force of a certain magnitude lasting for two seconds is described by a half note.


    We have been using the Tactile score to convert various natural systems into computing systems. Recently, we have been applying tactile computing systems to the treatment of dementia. There are very few effective treatments for dementia, such as Alzheimer's disease and Parkinson's disease, and the primary treatment is medical-drug therapy. We are conducting clinical research on haptic interaction to treat dementia. We have used direct tactile stimulations and indirect tactile stimulations by ultra-low frequency (Deep Micro Vibrotactile, DMV, we invented) in clinical research with Advanced Research Center for Geriatric and Gerontology, Akita University (prof. Hidetaka Ota) [2]. A preliminary clinical study showed that both methods improved cognitive function; these clinical studies indicate that this method is also effective for depression and insomnia. We are currently searching for more effective algorithms. Our tactile computing system has been successfully applied not only to dementia but also to medical treatment of the elderly (prevention of frailty) and beauty care.


    Natural computing with tactile sense has only just begun. We have accumulated much knowledge in computer science, molecular computing and molecular robotics. We aim to develop research on natural tactile computing systems by making the best use of them.

     

    Acknowledgement:

    This research has supported by Grant in Aid for Scientific Research, 21K12108
    References
    [1] Yasuhiro Suzuki and Rieko Suzuki, Tactile Score, A Knowledge Media for Tactile Sense, Springer Verlag, 2014.
    [2] Kodama A, Suzuki Y, Kume Y, Ota H (2021) Examination of the effect of Deep Micro Vibrotactile stimulation on cognitive function for elderly with Alzheimer’s Disease. Ann Alzheimers Dement Care 5(1): 001-003. DOI: 10.17352/aadc.000016.

  • 12th International Workshop on Natural Computing
    May 26-27 (Saturday &Sunday), 2018

    Akita International University Akita JAPAN

    SIGNAC, Japan Society of Artificial Intelligence

    about the workshop

    The series of International Workshops on Natural Computing initiated in 2006 grew up from the original interest in molecular computing. However, within the years following this original initiative the topic of natural computing became one of main directions of study in several disciplines. Natural processes or even entire life started to be considered a form of information processing with characteristics of computing. On the other hand, information processing in natural systems became a source of inspiration for innovation in computer science, artificial intelligence and engineering. Moreover, computer simulation became a common tool for study of nature.
    Following this general trend of mutual interactions of disciplines the 12th International Workshop on Natural Computing continues already established tradition of the IWNC series to devote its sessions to the recent and future developments in research, practice, philosophical reflection and creative activity within the crossroads of nature, computing, information science, cognitive science, study of life and culture.
    The intention of the workshop is to bring together a very wide range of perspectives from philosophical to scientific ones, to visions of artists. There will be an opportunity to present original and creative contributions without any restriction by disciplinary divisions or the level of advancement of research. Contributions from the beginning of the academic or intellectual career are as welcome as those from its peak.
    We also invite informal and popular short presentations for students introducing non-specialists into the subject of the workshop which will be scheduled in the evening on Friday before the workshop.

     

    REGISTRATION:
    Participants do not have to pay any registration fee, but they have to cover from own funds the cost of travel, accommodation, and of the optional social event (dinner). Registration for the workshop is necessary for the purpose of planning and logistics.


    CALL FOR CONTRIBUTIONS (ABSTRACTS):
    We invite submission of abstracts for intended presentations at the workshop. Abstracts should be in English and they should be sufficiently extensive to describe clearly the content of presented work, but their expected volume is within 200-500 words. The subject matter of presentations is not restricted to specific disciplines or topics, but the originality of the presented work and relevance to the main theme of the workshop is expected.


    Contributed presentations are planned for 30 minutes including 20-25 minute lecture and 5-10 minute discussion.


    EXTENDED DEADLINE for submissions: May 10, 2018. Acceptance notices will be sent soon after submitted abstracts are reviewed by organizers. Late submissions may be considered, but in order to secure full consideration, please meet the deadline. Submissions can be sent any time after this announcement to ysuzuki@nagoya-u.jp and/or mjs@aiu.ac.jp (we recommend sending your submissions to both addresses to ensure faster processing).


    ACCOMMODATION:
    Participants in the workshop may stay in Krypton Hotel (Official Guest Accommodation for AIU at the border of AIU campus) for discounted price of ca. 7,000 yen per night. However, to secure availability of accommodation at Krypton Hotel please consider making arrangements for reservation as early as possible by contacting us with your request. You can make request at the time of submission of your abstract.

     

    PAST WORKSHOPS IN THE IWNC SERIES:
    1st, Dec 14-15, 2006 : University of West-England, Bristol, UK

    2nd, Dec 10-13, 2007 : Nagoya University, Nagoya, Japan

    3rd, Sept. 23, 2008 : Yokohama National University, Yokohama, Japan4th, Spet, 23-19, 2009 ; Himeji International Exchange Center, Japan

    5th, Sept, 21, 2010 ; Ascoli Piceno, in ACRI2010, ItalyMar, 15-16, 2011; as "Winter School of Hakodate", Future University Hakodate, Japan

    6th, Mar, 28-30, 2012; Tokyo University, Tokyo, Japan

    7th, Mar, 20-22, 2013; Tokyo University, Tokyo, Japan

    8th, Mar, 18-19, 2014; YMCA, Hiroshima, Hiroshima, Japan
    9th, Mar. 15, 2015; Tokyo University, Tokyo, Japan
    10th, May 14-15, 2016; Akita International University, Akita, Japan
    11th, May 13-14, 2017, Akita International University, Akita, Japan

     

    PRE-WORKSHOP LECTURES FOR AIU STUDENTS AND GENERAL AUDIENCE WILL BE HELD ON FRIDAY, MAY 25, 2016, 17:00-19:00 IN LECTURE HALL BUILDING D.
    EVERYONE IS WELCOME! The schedule 17:00-19:00 is tentative and possible change to slightly later time in the evening may be announced later.

     

    ORGANIZING COMMITTEE:

    Masami Hagiya (Tokyo University) hagiya@is.s.u-tokyo.ac.jp

    Yasuhiro Suzuki (Nagoya University) ysuzuki@nagoya-u.jp

    Marcin J. Schroeder (Akita International University) mjs@aiu.ac.jp

     

    LOCAL ORGANIZING COMMITTEE at Akita International University

    Florent Domenach fdomenach@aiu.ac.jp

    Attila Egry-Nagy egri-nagy@aiu.ac.jp

    Yasushi Nara nara@aiu.ac.jp

  • 11th International Workshop on Natural Computing

    13 (Sat.)-14(Sun) May, 2017

    Akita International University Akita JAPAN

    SIGNAC, Japan Society of Artificial Intelligence

    about the workshop

    The series of International Workshops on Natural Computing initiated in 2006 grew up from the original interest in molecular computing. However, within the years following this original initiative the topic of natural computing became one of main directions of study in several disciplines. Natural processes or even entire life started to be considered a form of information processing with characteristics of computing. On the other hand, information processing in natural systems became a source of inspiration for innovation in computer science, artificial intelligence and engineering. Moreover, computer simulation became a common tool for study of nature.

    Following this general trend of mutual interactions of disciplines the 11th International Workshop on Natural Computing continues already established tradition of the IWNC series to devote its sessions to the recent and future developments in research, practice, philosophical reflection and creative activity within the crossroads of nature, computing, information science, cognitive science, study of life and culture.

    The intention of the workshop is to bring together a very wide range of perspectives from philosophical to scientific ones, to visions of artists. There will be an opportunity to present original and creative contributions without any restriction by disciplinary divisions or the level of advancement of research. Contributions from the beginning of the academic or intellectual career are as welcome as those from its peak.

     

    REGISTRATION:

    Participants do not have to pay registration fee, but they have to cover from own funds the cost of travel, accommodation, and of the optional social event (dinner). Registration for the workshop is necessary for the purpose of planning and logistics.

     

    CALL FOR CONTRIBUTIONS (ABSTRACT):

    We invite submission of abstracts for intended presentations at the workshop. Abstracts should be in English and they should be sufficiently extensive to describe clearly the content of presented work, but their expected volume is within 200-500 words. The subject matter of presentations is not restricted to specific disciplines or topics, but the originality of the presented work and relevance to the main theme of the workshop is expected.

    Contributed presentations are planned for 30 minutes including 20-25 minute lecture and 5-10 minute discussion.

     

    PROGRAM:

     

     

    Poster (pre workshop lectures, 12.May):

     

     

    Transportation (BUS time table) :

    JR Wada station <-> AIU

    https://uploads.strikinglycdn.com/files/21b8884a-0e3f-45d8-abf5-3a1682f2d19b/WadaLine.pdf?id=71337

     

    Aeon <-> AIU

    https://uploads.strikinglycdn.com/files/21b8884a-0e3f-45d8-abf5-3a1682f2d19b/AeonLine.pdf?id=71338

     

    IMPORTANT DATE:

    April 23, 2017. Acceptance notices will be sent within one week of submission. Late submissions may be considered, but in order to secure full consideration, please meet the deadline. Submissions can be sent any time after this announcement to ysuzuki@nagoya-u.jp and/or mjs@aiu.ac.jp (we recommend sending your submissions to both addresses to ensure faster processing).

     

    ACCOMMODATION:

    Participants in the workshop may stay in Krypton Hotel (Official Guest Accommodation for AIU at the border of AIU campus) for discounted price of ca. 7,000 yen per night. However, to secure availability of accommodation at Krypton Hotel please consider making arrangements for reservation as early as possible by contacting us with your request. You can make request at the time of submission of your abstract.

     

    PRE-WORKSHOP LECTURES FOR AIU STUDENTS AND GENERAL AUDIENCE WILL BE HELD ON FRIDAY, MAY 12, 2016, 17:00-19:00 IN LECTURE HALL BUILDING D.EVERYONE IS WELCOME!

     

    ORGANIZING COMMITTEE:

    Masami Hagiya (Tokyo University) hagiya@is.s.u-tokyo.ac.jp

    Yasuhiro Suzuki (Nagoya University) ysuzuki@nagoya-u.jp

    Marcin J. Schroeder (Akita International University) mjs@aiu.ac.jp

  • 10th International Workshop on Natural Computing, IWNC 10

    14-15 May, Akita International University

    cooperated by Molecular Robotics: Grant in Aid for Scientific Research

    SIGNAC, Japan Society of Artificial Intelligence

    about the workshop

    The series of International Workshops on Natural Computing initiated in 2006 grew up from the original interest in molecular computing. However, within the years following this original initiative the topic of natural computing became one of main directions of study in several disciplines. Natural processes or even entire life started to be considered a form of information processing with characteristics of computing. On the other hand, information processing in natural systems became a source of inspiration for innovation in computer science, artificial intelligence and engineering. Moreover, computer simulation became a common tool for study of nature. Following this general trend of mutual interactions of disciplines the 10th International Workshop on Natural Computing is devoted to the recent and future developments in research, practice, philosophical reflection and creative activity within the crossroads of nature, computing, information science, cognitive science, study of life and culture.

    The intention of the workshop is to bring together a very wide range of perspectives from philosophical to scientific ones, to visions of artists. There will be an opportunity to present original and creative contributions without any restriction by disciplinary divisions or the level of advancement of research. Contributions from the beginning of the academic or intellectual career are as welcome as those from its peak.

    REGISTRATION:

    Participants do not have to pay registration fee, but they have to cover from own funds the cost of travel, accommodation, and of the optional social event (dinner). Registration for the workshop is necessary for the purpose of planning and logistics.

    ORGANIZING COMMITTEE:

    Masami Hagiya (Tokyo University) hagiya@is.s.u-tokyo.ac.jp

    Yasuhiro Suzuki (Nagoya University) ysuzuki@nagoya-u.jp

    Marcin J. Schroeder (Akita International University) mjs@aiu.ac.jp

    CALL FOR Abstracts

    CALL FOR CONTRIBUTIONS:

    We invite submission of abstracts for intended presentations at the workshop. Abstracts should be in English and they should be sufficiently extensive to describe clearly the content of presented work, but their expected volume is within 200-500 words. The subject matter of presentations is not restricted to specific disciplines or topics, but the originality of the presented work and relevance to the main theme of the workshop is expected.

    Contributed presentations are planned for 30 minutes including 20-25 minute lecture and 5-10 minute discussion.

    DEADLINE for submissions: May 6, 2016. Acceptance notices will be sent within one week of submission, but not later than May 9, 2016. Late submissions may be considered, but in order to secure full consideration, please meet the deadline. Submissions can be sent any time after this announcement to ysuzuki@nagoya-u.jp or mjs@aiu.ac.jp

    Submissions should include together with the abstract (information required at the time of submission is marked with the asterisks):

    • Title of the presentation*
    • Names of the authors with an indication who will present*
    • Affiliations of the authors and their e-mail addresses*
    • E-mail address of the contact person*
    • Information regarding intended participation:
    1. - How many participants?
    2. - Which days? Two days, first, second?
    3. - Do you need reservation for accommodation in Akita? For how many people? How many hotel rooms? (info about accommodation is included below)
    4. - Do you want to participate in the evening social event on Saturday (dinner)? How many people of your party would participate in the dinner?

    Invited Speaker: dr. Peper Ferdinand

    Center for Information and Neural Networks,National Institute of Information and Communication Technology, JAPAN

    Accommodation 

    Participants in the workshop may stay in Krypton Hotel (Official Guest Accommodation for AIU at the border of AIU campus) for discounted price of 7,000 yen per night. However, to secure availability of accommodation at Krypton Hotel please consider making arrangements for reservation as early as possible by contacting us with your request. You can make request at the time of submission of your abstract.

    Past IWNC

    PAST WORKSHOPS IN THE IWNC SERIES:

    1st, Dec 14-15, 2006 : University of West-England, Bristol, UK
    2nd, Dec 10-13, 2007 : Nagoya University, Nagoya, Japan
    3rd, Sept. 23, 2008 : Yokohama National University, Yokohama, Japan
    4th, Spet, 23-19, 2009 ; Himeji International Exchange Center, Japan
    5th, Sept, 21, 2010 ; Ascoli Piceno, in ACRI2010, Italy
    Mar, 15-16, 2011; as "Winer School of Hakodate", Future University Hakodate, Japan
    6th, Mar, 28-30, 2012; Tokyo University, Tokyo, Japan
    7th, Mar, 20-22, 2013; Tokyo University, Tokyo, Japan
    8th, Mar, 18-19, 2014; YMCA, Hiroshima, Hiroshima, Japan

    9th, Mar. 15, 2015; Tokyo University, Tokyo, Japan

     

  • 9th International Workshop on Natural Computing

    13, March 2015

    Ito International Research Center, University of Tokyo,  JAPAN

    Co-Organized by: Grant-for-Aid in Scientific Research for Innovative Area "Molecular Robotics", Ministry of Education, Culture, Sports, Science and Technology, JAPAN 

    International Workshop on Natural Computing: Workshop for all related areas of Natural Computing, we never LIMIT the scope, but expand research field broadly; of course we all welcome "so-called" natural computing researches but also we have been including (fine / media / modern) art, aesthetics, design, sociology so if you feel your research is not ordinary and hard to find out meetings to join... you are the right person to join this workshop ;-) 

     

    -PROGRAM

     

    9th International Workshop on Natural Computing

    13. Mar. 2015

    Ito International Research Center, the University of Tokyo, JAPAN

     

    Organized by SIG-NAC, the Japanese Society for Artificial Intelligence 

    Co-Organized by: Grant-for-Aid in Scientific Research for Innovative Area 

    "Molecular Robotics", Ministry of Education, Culture, Sports, Science and 

    Technology, JAPAN

     

    Program; (20min presentation + 10 min discussion)

    BUT we do not have to rush, so take it easy..

     

    10:00-10:30 Yasuhiro Suzuki

    Computational Model of Proto-cells and its behaviors 

    10:30-11:00 Ayano Yoshida

    11:00-11:30 Shigeru Sakurazawa

    Effects of physiological tremor on haptic perception

    11:30-12:00 Miki Goan

    Drawing mediated by medium perception robots

     

    Lunch Break (12:00-13:30 incl. buffer 30min.)

     

    13:30-14:00 Katunobu Imai

    14:00-14:30 Hiroshi Umeo

    A Class of Non-Optimum-Time FSSP Algorithms for One-Dimensional Arrays - A Survey

    14:30-15:00 Teturo Itami, Nobuyuki Matsui (University of Hyogo)

    Experimental Study on "Macroscopic" Brownian Motion using Sphere shaped robots 

     

    Break around 30 min (buffer + 30min) 

     

    16:00-16:30  Marcin J. Schroeder

    Naturalization of Computation through Naturalization of Information Dynamics Which Defines Computation

    16:30-17:00  Fuminori Akiba

    (about 18:00  Yasuhiro Suzuki (buffer.. depend of schedule)

    Natural Computing for Sensory Communication)

     

    17:20-17:30 Business meeting 

    17:30 Closing

     

    19- Banquet 

     

    ----- 

    *Abstracts 

     

    Effects of physiological tremor on haptic perception

    Shigeru Sakurazawa
    Future University Hakodate

    Abstract
    Human fingers always continue to vibrate at around 10 Hz even though there are no pathological factor. This phenomenon is called as physiological tremor. It changes depending on the objects which the human is willing to touch. From this situation, there is a possibility that physiological tremor has some function for haptic perception. To research effects of physiological tremor on haptic perception, we tried to test human finger’s discrimination ability of hardness under the condition that the tip of a finger is vibrated by an oscillator at 10Hz. The results showed that the vibration enhanced the discrimination ability of hardness. It is thought that haptic perception is a kind of orientation as the echolocation which is brought by searching with periodical dynamic action to the environment.

    ----

    Effect of a state and locomotion change by chemical reaction on macro pattern formation

     

    Ayano Yoshida

    Future University Hakodate


    There are some phenomena in which the macroscopic structure is emerged with mixing the two
    solutions which has different characteristic or concentration. One of them is forming a microcapsule
    of thermal heterocomplex molecules of amino acids. It is considered that this microcapsule is made
    by raising solution pH resulting from dissolution of microsphere. Here, it is thought that not only
    state changes of molecules but also their diffusional motions associated with their chemical reaction
    in microscopic area is important for these macroscopic structure emergence. In this study, the system
    including the change of the diffusional motion by molecule’s state change resulting from their
    chemical reaction was used. Then, by comparing the materials which change their diffusion
    coefficient by their chemical reaction with the materials which do not change one, we researched
    that how the diffusional motions change resulting from state change in microscopic effect to
    macroscopic structure emergence.

  • International Workshop on Natural Computing 

    SIG-NAC has been organized International Workshop on Natural Computing, since 2006; Postceedings of workshop have been published from Springer Verlag

    - Past Workshops

    1st, Dec 14-15, 2006 : University of West-England, Bristol, UK
    2nd, Dec 10-13, 2007 : Nagoya University, Nagoya, Japan
    3rd, Sept. 23, 2008 : Yokohama National University, Yokohama, Japan
    4th, Spet, 23-19, 2009 ; Himeji International Exchange Center, Japan
    5th, Sept, 21, 2010 ; Ascoli Piceno, in ACRI2010, Italy
    Mar, 15-16, 2011; as "Winer School of Hakodate", Future University Hakodate, Japan
    6th, Mar, 28-30, 2012; Tokyo University, Tokyo, Japan
    7th, Mar, 20-22, 2013; Tokyo University, Tokyo, Japan
    8th, Mar, 18-19, 2014; YMCA, Hiroshima, Hiroshima, Japan

    9th, Mar. 15, 2015; Tokyo University, Tokyo, Japan

     

    - International Workshop

    7 Oct, 2013, National Taiwan Normal University, "Taiwan-Japan workshop on Computational Aesthetics"

    27 Oct, 2013, Keio University, JAPAN, Natural Computing meets Computational Aesthetics

     

    - Open Access Volume (free to read)

    Winter School of Hakodate + IWNC6th

  • 人工知能学会合同研究会2016 

    SIGNAC研究会

    「美とウェルビーイングをつくる人工知能」

    2016年11月9日

    慶応義塾大学日吉キャンパス来往舎

    プログラム(人工知能学会HPと異なります。ご注意ください)

     

    15:00 - 15:30

    講演(タイトルは追ってお知らせします)

    渡邊淳司(NTTコミュニケーション科学基礎研究所)

     

    15:30-16:00

    自然計算と人工知能〜美とウェルビーイングをつくる人工知能に向けて

    鈴木泰博(名古屋大学)

     

    16:00 - 16:30

    美とウェルビーイングをつくる人工知能

    鈴木理絵子((株)ファセテラピー), 鈴木泰博(名古屋大学)

     

    16:40-17:30

    デモ&触譜ワークショップ2

  • 人工知能学会合同研究会2015 

    SIGNAC研究会 

    「身体+美学+計算」

    2015年11月12日

    慶応義塾大学日吉キャンパス来往舎

    美は身体と深いつながりがあります。また身体も美と深い関係にあります。今回のSIGNAC研究会では、美と身体、を計算の観点から考えてみます

     

    プログラム(人工知能学会HPと異なります。ご注意ください)

     

    15:00 - 15:20  

    記譜法と身体―アルボの哲学を手がかりに

    秋庭史典 (名古屋大学)

     

    15:20-15:40

    呼吸する建築(仮題)

    森永さよ(東京芸術大学)

     

    15:40 - 16:00  

    身体的理解のための触覚

    渡邊淳司(NTT コミュニケーション基礎科学研究所)

     

    16:00-16:20

    (身体+美学)+計算

    鈴木泰博(名古屋大学)

     

    16:20-16:40 

    触感プログラマーとしてのエステティシャンの役割

    鈴木理絵子(株 ファセテラピー)

     

    16:40 - 17:30 

    触覚体験ワークショップ「振動触覚SENSONIC」

     

     

    15:00-15:20

    記譜法と身体―アルボの哲学を手がかりに

    秋庭史典(名古屋大学)

     

     

    Alessandro Arboは、その著Entendre Comme(2012)の中で、ヴィトゲンシュタインが『論理哲学論考』のなかで表明したpicture theoryに基づく楽譜論を展開している。本発表は、Arboの議論の中から、感覚言語ならびに身体の問題に接続可能な論点を取り上げ、これまで触譜について行ってきた考察を拡張することを試みる。 とりわけ、楽譜が如何にして感覚言語と身体を結び得るのか、について論じる。

     

    15:20-15:40

    身体的理解のための触覚

    渡邊淳司

    (NTT コミュニケーション科学基礎研究所)

    私たちが物事を理解するときには、
    頭の中で記号を通して理解するだけでなく、
    身体を使用し・身体的な反応も含めて、理解を行っています。
    身体を通して感じるという現象を、「理解する」という目的のためにどのようにプログラムしていくのか、その方法論について考察します。

    15:40-16:00

    (身体+美学)+計算

    鈴木泰博(名古屋大学)

    美は身体と深いつながりがあり、また、身体も美とふかいつながりがあります。身体と美をつなぐための方法のひとつが”計算”です。

     

    月が出た出た月が出た...と輪になって炭坑節を踊るとき、わたしたちは”うつくしい動き”をみんなでつくります。”掘って掘ってまた掘って”と「炭坑を掘る」のくだりで、わたしたちは「鉱夫の身体の動きを迫真にせまって描写しよう」...とは思いません。「炭坑を掘る」という身体の動きを、うつくしいかたち、へと変えて踊ります。それが計算です。

     

    わたしたちは所作にうつくしさを求めたりします。。麦茶をコップに溢れているのも気にせずどくどくと注いで、ドカンと音をたててそっぽを向いてお客様に突き出す。。なんてことは、しません。茶道とかそうゆうのはともかく、日常的にわたしたちは、身体の動きにうつくしさをもとめている。。のですよね。身体の動きはどうなっているか、敢えて書くと、

     

    1. うつくしいグラスをそっとテーブルにおき

    2. 静かに麦茶の入っているタッパか何かのふたを開け

    3. こぼれないように、そっと麦茶を注ぎ、

    4. お客様の前に静かに差し出す

     

    なぞとなります。身体の動作が順序(計算)になっていますね。このように、そもそも、身体+美学、はふかくつながっているのですが、そこには計算(所作の順序)があるのです。

     

     

    16:00 - 16:20

    触感プログラマーとしてのエステティシャンの役割

    鈴木理絵子(株 ファセテラピー)

  • 人工知能学会合同研究会

    第13回SIG-NAC研究会

    「感覚言語の設計論」

    2014年11月20日

    慶応大学日吉キャンパス来往舎

    プログラム
    14:50-15:10 感覚言語の設計論に向けて
    ○鈴木泰博 (名古屋大学, 慶応大学SDM研究所)
    15:10-15:30 感覚言語の生成と自己作用感
    ○渡邊淳司 (NTTコミュニケーション科学基礎研究所)
    15:30-15:50 感覚言語の設計論と美学(仮題)
    ○秋庭史典 (名古屋大学)
    15:50-16:10 感覚言語の設計論, 触譜から感覚言語へ
    ○鈴木理絵子 (株)ファセテラピー, 慶応大学SDM研究所)

     

    16:10-16:40 交流ブレイク.. 触譜家の集い

     

    16:40-17:00 パネルディスカッション

    感覚言語の設計論に向けて
    ○鈴木泰博 (名古屋大学), 渡邊淳司 (NTT) ,

    秋庭史典 (名古屋大学) , 鈴木理絵子 ((株)ファセテラピー)

     

    感覚言語の設計論に向けて

    鈴木泰博

    名古屋大学/慶応大学SDM研究所

    感覚言語と美学

    秋庭史典

    名古屋大学

    感覚言語の生成と自己作用感

    渡邊淳司

    NTT コミュニケーション科学基礎研究所

    感覚言語の設計論, 触譜から感覚言語へ

    鈴木理絵子

    (株)ファセテラピー/慶応大学SDM研究所

  • SIGNAC no.16

    SOMA workshop

    日時:10月10日(土)13時半~
    場所:信州大学
    長野(工学)キャンパス 情報工学科棟 5階502室
    下記ページの13番の建物,エレベータを出て正面の部屋

    soma workshop

    SOMA workshop は「なんでもあり」の研究会です。

     

    このワークショップはコンフィデンシャル(出版前のアイデアを発表するけど、パクったりズルいことなしねという合意)なワークショップです。

     

    本ワークショップは、デイタイムセッションとナイトセッションで構成され、デイタイムセッションでは主に研究やアイデアのアウトラインを通常の研究会発表形式で行い、ナイトセッションでは参加者全員によるラウンドテーブルを行います。

     

    デイタイムセッションのプログラムは当日に参加者で決定いたします。発表時間は、ナイトセッション(18:30時頃から)にあわせ、発表者数で均等割りして決めます。

     

    発表時間は「厳守」ではまったくないので、場合によってはデイタイムセッションでの発表がナイトセッションにずれ込むこともありますが、その場合は、ラウンドテーブルへの話題提供となりますのでご了承ください。

     

    参加登録などは必要ありませんが、参加を希望される方は事前にysuzuki@nagoya-u.jpまでご連絡ください(事前にナイトセッションの準備が必要なため)

  • 3rd Taiwan-Japan workshop on Computational Aesthetics

    共催: 人工知能学会SIGNAC研究会

    2017年3月15日

    Howard Plaza Hotel Taipei 

    参加&発表をご希望の方は ysuzuki@nagoya-u.jp まで(開催日直前でもお気軽にお問い合わせ下さい)

    プログラム(案)

    1. 「人工知能と美学」 秋庭史典(名古屋大学)

    2. 「自動運転における責任と倫理」 戸田山和久(名古屋大学)

    3.「美容人工知能」鈴木泰博(名古屋大学)

    4.「である」と「べき」をいかにつなぐのか:社会的認知研究の貢献可能性について 唐沢かおり(東京大学)

    5. (台湾在住のアーティスト、メディア研究者による講演を予定)

  • Activities

    SINCE 2007-

    第1回2007/7/28-29 国立情報学研究所軽井沢

    第2回2007/11/10 同志社大学(京田辺)特定領域「分子プログラミング」と共催

    第3回2007/12/10-13 名古屋大学 2nd International Workshop on Natural Computing

    第4回2008/9/23 横浜国立大学 3rd International Workshop on Natural Computing

    第5回2009/9/23-25 姫路国際交流館 4th International Workshop on Natural Conputing

    第6回2010/9/21 イタリア 5th International Workhop on Natural Computing

    第7回2011/3/16-1 6公立はこだて未来大学 Winter School Hakodate

    第8回2011/12/16 名古屋大学 bio-aesthetics 自然計算とハーネスをめぐるシンポジウム

    第9回2012/3/28-30 東京大学 6th International Workshop on Natural Computing

    第10回2012/8/14 東京大学 ハーネスの美学と藝術

    第11回2012/10/30 関西大学 SOMA 生命および身体性に関するワークショップ

    第12回2013/3/19 東京ミッドタウン 触覚を用いた触覚の計算美学的研究シンポジウム

    第13回2013/3/20-22 東京大学 7th International Workhop on Natural Computing

    第14回2013/10/7 国立台湾師範大学 1st Taiwan-Japan Workshop on Computational Aesthetics

    第15回2013/10/24 慶應大学 人工知能学会合同研究会

    第16回2014/5/18-19 広島YMCA 8th International Workshop on Natural Computing

    第17回2014/7/26 高知工科大学 SOMA ワークショップ

    第18回2014/11/22 慶應大学 人工知能学会合同研究会「感覚言語の設計論」

    第19回2015/3/13 東京大学 9th International Workshop on Natural Computing

    第20回2015/3/26-27 ホテルラフォーレ南紀白浜 南方熊楠の自然科学に学ぶ

    第21回2015/10/10 信州大学工学部 SOMA ワークショップ

    第22回2015/11/12 慶應大学 人工知能学会合同研究会「身体+美学+計算」

    第23回2016/3/27 ハワードプラザホテル台北 2nd Taiwan-Japan Workshop on Computational Aesthetics

    第24回2016/4/22-23 公立はこだて未来大学 膜研究会

    第25回2016/5/14-15 国際教養大学 10 th International Wrokshop on Natural Computing

    第26回2017年3/10-11 東京工業大学自然知能研究グループ-SIGNAC-電子情報通信学会 複雑コミュニケーション科学研究部会 合同研究会

    第27回2017年3月15日, Howard Plaza Hotel Taipei, 3rd Taiwan-Japan workshop on Computational Aesthetics

    第28回2017年5月13-14日11th International Workshop on Natural Computing, Akita International University

    第29回2017年11月24-25 人工知能学会合同研究会

    第30回2018年5月26日-27日 12th International Workshop on Natural Computing

  • SIGNAC - 2016

    2016年度

    第18回 研究会 4/21-22

    公立はこだて未来大学

    「膜研究会」

    第18回人工知能学会SIG-NAC研究会「膜研究会」

     

    2016年4月21日-22日

    公立はこだて未来大学サテライトラボ

    〒040-0051 北海道函館市弁天町20番5号
    函館市国際水産・海洋総合研究センター内

     

    ”膜”はさまざまなところにあります。それは皮膚や細胞膜のように目にみえる膜から、コミュニケーションの膜、のように目にはみえないものまで。膜の研究会では、広義の膜とはなにか、を深く考察し、膜をもちいた情報処理について考察しています。

     

    特に膜の研究をしている方のためだけの研究会ではありません。日頃の研究を「膜」という観点からみなおしてみるための研究会です。ひろくご参加を期待いたします。

     

    プログラム(予定)

    4月21日 13時から18時 ディスカッション

    4月22日  9時から16時(途中適宜ブレークあり)ディスカッション

    *17時頃から懇親会を予定