Ryosuke Takata

Ph.D student studying artificial life at the University of Tokyo
JSPS research fellowship DC2

Publications

    Journal Papers

    • A Study on Standing of Agents through Evolutionary Learning
      • (進化的学習を通したエージェントの立位保持に関する検討)
      • Masatoshi Yamada
      • Ryosuke Takata
      • Takafumi Sakamoto
      • Yugo Takeuchi
      • Bulletin of Faculty of Business Administration, Tokoha University
      • Vol. 8
      • No. 2
      • pp. 35-41
      • Feb. 2021
      • (refereed)

    Preprints

    • PAMS: Platform for Artificial Market Simulations
      • Masanori Hirano
      • Ryosuke Takata
      • Kiyoshi Izumi

    International Conference Papers

    • Evolving Collective AI: Simulation of Ants Communicating via Chemicals
      • Ryosuke Takata
      • Yujin Tang
      • Yingtao Tian
      • Norihiro Maruyama
      • Hiroki Kojima
      • Takashi Ikegami
      • The 2023 Conference on Artificial Life
      • Jul. 2023
      • (refereed)
      • (poster presentation)
    • Mind Time Machine II
      • Takashi Ikegami
      • Atsushi Masumori
      • Norihiro Maruyama
      • Ryosuke Takata
      • Hiroki Sato
      • johnsmith
      • Hiroki Kojima
      • Yuta Ogai
      • Itsuki Doi
      • ALIFE 2023 Workshop on Cognitive Feelings
      • Jul. 2023
      • (refereed)
      • (oral presentation)
    • Design of Cooperative Interaction between Humans and AI Creatures through Reinforcement Learning
      • Ryosuke Takata
      • Yugo Takeuchi
      • Proceedings of the 7th International Conference on Human-Agent Interaction
      • pp. 220-222
      • Oct. 2019
      • (refereed)
      • (poster presentation)
    • Design of Cooperative Interaction between Humans and Agents through Reinforcement Learning
      • Ryosuke Takata
      • Yugo Takeuchi
      • Next Generation Human-Agent Interaction Workshop
      • Oct. 2019
      • (unrefereed)
      • (oral presentation)
    • Learning Method to Discover Secret Tricks Using Reinforcement Learning
      • Tsuyoshi Hashimoto
      • Ryosuke Takata
      • NIT-NUU Bilateral Academic Conference
      • Jul. 2018
      • (refereed)
      • (oral presentation)

    Domestic Conference Papers

    • Consideration of Brain Activity and Rhythm when Practicing Skills
      • (技を実践する際の脳活動とリズムに関する考察)
      • Masatoshi Yamada
      • Ryosuke Takata
      • Hokkaido Conference, Japan Information-Culturology Society
      • Mar. 2024
      • (unrefereed)
      • (oral presentation)
    • A Study on Brain Activity during Skill Practice with Cognitive Information Processing by Visual Stimuli
      • (視覚刺激による認知情報処理を伴うスキル実践時の脳活動に関する一考察)
      • Masatoshi Yamada
      • Ryosuke Takata
      • The 86th National Convention of IPSJ
      • 4B-05
      • Mar. 2024
      • (unrefereed)
      • (oral presentation)
    • Interaction of LLM Agents Emerging Individuality from Collectivity
      • (集団の中から個性を創発させるLLMエージェントのインタラクション)
      • Ryosuke Takata
      • Atsushi Masumori
      • Takashi Ikegami
      • Human-Agent Interaction Symposium 2024
      • G-5
      • Mar. 2024
      • (unrefereed)
      • (oral presentation)
      • (Student Encouragement Award)
    • An Informatics Study on Skills and Embodied Cognition -- Focusing on Perceptual Reaction Time and Kinesthetic Impressions --
      • (技と身体性認知に関する情報学的研究〜知覚に対する反応時間と運動感覚的印象に注目して〜)
      • Masatoshi Yamada
      • Ryosuke Takata
      • IEICE Technical Committee on Human Communication Science (HCS)
      • Vol. 123
      • No. 408
      • pp. 120-124
      • Mar. 2024
      • (unrefereed)
      • (oral presentation)
    • Consideration of Language Reporting through Perceptual Response Testing with Speech Acts
      • (発話行為を伴う知覚反応テストを通した言語報告の考察)
      • Masatoshi Yamada
      • Ryosuke Takata
      • Kyusyu Conference, Japan Information-Culturology Society
      • Feb. 2024
      • (unrefereed)
      • (oral presentation)
    • An Empirical Study of the Effect of Cognitive Speech Acts on the Reaction Time of Action
      • (認知的な発話行為が動作の反応時間に与える影響の実証的研究)
      • Masatoshi Yamada
      • Ryosuke Takata
      • IEICE Technical Committee on Human Information Processing (HIP)
      • Vol. 123
      • No. 320
      • pp. 76-78
      • Dec. 2023
      • (unrefereed)
      • (oral presentation)
    • PAMS: Platform for Artificial Market Simulations -- Python-based Platform for Artificial Market Simulations and Challenges on its Integration with Deep Learning --
      • (PAMS: Platform for Artificial Market Simulations ~Pythonベースの人工市場シミュレーションプラットフォームと深層学習との融合~)
      • Masanori Hirano
      • Ryosuke Takata
      • Kiyoshi Izumi
      • Joint Agent Workshops and Symposium 2023 (JAWS2023)
      • Sep. 2023
      • (unrefereed)
      • (oral presentation)
      • (JAWS Excellence Award)
    • Cognitive Modeling of Thrill-Seeking Irrational Behavior with Conflicting Adaptive Optimizations
      • (相反する適応的最適化計算による非合理的なスリル行動の認知モデル)
      • Ryosuke Takata
      • Takafumi Sakamoto
      • Yugo Takeuchi
      • The 40th Annual Meeting of Japanese Cognitive Science Society (JCSS2023)
      • Sep. 2023
      • (refereed)
      • (poster presentation)
    • A Cognitive Model of Thrill Using Evolutionary Computation and Reinforcement Learning
      • (進化計算と強化学習によるスリルのモデル化)
      • Ryosuke Takata
      • Takafumi Sakamoto
      • Yugo Takeuchi
      • Human-Agent Interaction Symposium 2023
      • P-54
      • Mar. 2023
      • (unrefereed)
      • (poster presentation)
    • Emergence of Collective Behavior through Evolution of Individuals and Interaction
      • (個体の進化と相互作用による集団の創発)
      • Ryosuke Takata
      • Hiroki Kojima
      • Norihiro Maruyama
      • Takashi Ikegami
      • ALife Japan Workshop #5
      • Nov. 2022
      • (unrefereed)
      • (oral presentation)
    • Emergence of Organized Behavior through Multi-Agent Reinforcement Learning of Kick the Can Game
      • (缶蹴り遊びのマルチエージェント強化学習による組織化された振る舞いの創発)
      • Ryosuke Takata
      • Takafumi Sakamoto
      • Yugo Takeuchi
      • Takashi Ikegami
      • ALife Japan Workshop #4
      • Jul. 2022
      • (unrefereed)
      • (poster presentation)
    • Analysis of Group Organization and Dynamics through Reinforcement Learning in "Kick the Can" Game
      • (缶蹴りにおける強化学習を通した集団の組織化とダイナミクスの分析)
      • Ryosuke Takata
      • Takafumi Sakamoto
      • Yugo Takeuchi
      • Human-Agent Interaction Symposium 2022
      • G-15
      • Mar. 2022
      • (unrefereed)
      • (oral presentation)
    • Reinforcement Learning Agents Solving the Mutual Prediction Problem through Different Standpoints
      • (立脚点の違いによって相互予測問題を解消する強化学習エージェント)
      • Ryosuke Takata
      • Yugo Takeuchi
      • The 38th Annual Meeting of Japanese Cognitive Science Society (JCSS2021)
      • pp. 51-57
      • Sep. 2021
      • (refereed)
      • (oral presentation)
    • Acquiring Cooperative Behavior through Reinforcement Learning of Winning Strategy
      • (強化学習を用いた缶蹴りエージェントによる協調行動の獲得)
      • Ryosuke Takata
      • Takafumi Sakamoto
      • Yugo Takeuchi
      • The 35th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI2021)
      • 3I2-GS-5e-03
      • Jun. 2021
      • (refereed)
      • (oral presentation)
    • Cooperation without Person Perception on Kick the Can Game
      • (缶蹴りにおける他者知覚を必要としない協調の実現)
      • Ryosuke Takata
      • Takafumi Sakamoto
      • Yugo Takeuchi
      • Human-Agent Interaction Symposium 2021
      • G-20
      • Mar. 2021
      • (unrefereed)
      • (oral presentation)
      • (Student Encouragement Award)
    • Group Formation and Behavioral Analysis of Kick the Can by Agents Using Reinforcement Learning
      • (強化学習を用いたエージェントによる缶蹴りの集団形成と振る舞い分析)
      • Ryosuke Takata
      • Takafumi Sakamoto
      • Yugo Takeuchi
      • Human Interface Cyber Colloquium
      • pp. 81-88
      • Oct. 2020
      • (unrefereed)
      • (oral presentation)
      • (Best Presentation Award)
    • Physical Interaction of Kick the Can Using Reinforcement Learning
      • (缶蹴りにおける強化学習を用いた身体的インタラクション)
      • Ryosuke Takata
      • Yugo Takeuchi
      • The 37th Annual Meeting of Japanese Cognitive Science Society (JCSS2020)
      • pp. 384-391
      • Sep. 2020
      • (refereed)
      • (poster presentation)
    • Analysis of Cooperative Interaction between Creatures Using Neuroevolution
      • (ニューロエボリューションを用いたクリーチャによる協調行動の分析)
      • Ryosuke Takata
      • Yugo Takeuchi
      • The 34th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI2020)
      • 4Rin1-64
      • Jun. 2020
      • (refereed)
      • (poster presentation)
    • Analysis of Process about Acquisition of Standing Skill in Agents with Different Physical Characteristics Focusing on Evolutionary Learning with Neuroevolution
      • (身体的特徴が異なるエージェントにおける立位熟達過程の分析 -ニューロエボリューションによる進化的学習に注目して-)
      • Masatoshi Yamada
      • Ryosuke Takata
      • Takafumi Sakamoto
      • Yugo Takeuchi
      • The 34th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI2020)
      • 4Rin1-19
      • Jun. 2020
      • (refereed)
      • (poster presentation)
    • Automatic Acquisition of Cooperative Behavior by Creatures through Reinforcement Learning
      • (強化学習を通したクリーチャによる協調行動の自動獲得)
      • Ryosuke Takata
      • Yugo Takeuchi
      • Human-Agent Interaction Symposium 2020
      • G-7
      • Mar. 2020
      • (unrefereed)
      • (oral presentation)
    • Analysis of Coevolution and Motivation in Action Game AI: A Case Study of Bomberman
      • (アクションゲームAIにおける共進化と動機づけの分析~ボンバーマンを題材として~)
      • Ryosuke Takata
      • The 9th Science Intercollegiate
      • Mar. 2020
      • (refereed)
      • (oral presentation)
      • (Presentation cancelled due to COVID-19)
    • A Study on Standing Skill Acquisition Process of an Agent by Neuro Evolution
      • (ニューロエボリューションによるエージェントの立位獲得過程に関する研究)
      • Masatoshi Yamada
      • Ryosuke Takata
      • Yugo Takeuchi
      • The 8th Hamamatsu Academic Conference
      • Feb. 2020
      • (unrefereed)
      • (oral presentation)
    • Self Learning Method for Discovering the Secret Tricks of Action Games: A Case Study of Super Mario Bros.
      • (アクションゲームの裏技を発見する自己学習手法~スーパーマリオブラザーズを題材として~)
      • Ryosuke Takata
      • The 8th Science Intercollegiate
      • Mar. 2019
      • (refereed)
      • (oral presentation)
      • (Special Jury Award)
    • Proposal of A Self Learning Method to Discover Secret Tricks Using Infinite 1-up as The Theme
      • (無限1UPを題材としたアクションゲームの裏技を発見する自己学習手法の提案)
      • Ryosuke Takata
      • Tsuyoshi Hashimoto
      • The 39th IPSJ Conference on Game Informatics
      • Mar. 2018
      • (unrefereed)
      • (oral presentation)
      • (Young Scientist Encouragement Award)
    • Introduction of Making AI Program for the 1st 'Smalruby Koshien' and its Future Prospects
      • (第1回スモウルビー甲子園優勝プログラムと将来の展望)
      • Ryosuke Takata
      • Satoru Kato
      • The 58th Programming Symposium
      • pp. 81-83
      • Jan. 2017
      • (unrefereed)
      • (poster presentation)

    Misc

    • Both JSAI2023 Conference Committee Member and Student Editorial Board Member
      • (特集: 編集委員 今年の抱負 2024 「全国大会委員と学生編集委員の両輪で」)
      • Ryosuke Takata
      • Journal of the Japanese Society for Artificial Intelligence
      • Vol. 39
      • No. 1
      • pp. 48
      • Jan. 2024
      • (unrefereed)
    • Student Session "What Do People Want from AI?"
      • (特集: 2023 年度人工知能学会全国大会(第37 回) 学生企画「人は人工知能に何を求めるのか」)
      • Ryosuke Takata
      • Tomoya Minegishi
      • Journal of the Japanese Society for Artificial Intelligence
      • Vol. 38
      • No. 6
      • pp. 926-927
      • Nov. 2023
      • (unrefereed)
    • Discovering Tricks by Evolving Mario AI
      • (進化するマリオAIによる裏技の発見)
      • Ryosuke Takata
      • Annual Conference of the Japan Association for the Advancement of Science, 2023 (JAAS2023)
      • Oct. 2023
      • (unrefereed)
      • (poster presentation)
    • CIF Issues and Reinforcement Learning
      • (CIFの課題と強化学習)
      • Ryosuke Takata
      • Cognitive Interaction Framework Workshop 2022
      • Aug. 2022
      • (unrefereed)
      • (oral presentation)
    • Development of a Cognitive Model of Thrill-Seeking
      • (スリルを味わう認知モデルの開発)
      • Ryosuke Takata
      • Hyper Interdisciplinary Conference 2022
      • Mar. 2022
      • (unrefereed)
      • (poster presentation)
      • (Career Design Research Center Award)
    • Development of NPCs for the Thrill of the Game
      • (ゲームのスリルを味わうNPCの開発)
      • Ryosuke Takata
      • MEET UP Shizuoka
      • Jan. 2022
      • (unrefereed)
      • (poster presentation)

    Invited Talks

    • Simulation of LLM Agents Emanating Individuality from Collectivity in Virtual Reality
      • (VRに集団の中から個性を創発させるLLMエージェントのシミュレーション)
      • Ryosuke Takata
      • VR/Metaverse Practice Seminar, The University of Tokyo Virtual Reality Educational Research Center
      • Apr. 2024
    • Evolution of Swarm and Neural Network Dynamics Based on Chemotaxis
      • (走化性に基づくニューラルネットワークのダイナミクスと集団行動の進化)
      • Ryosuke Takata
      • Doctoral Symposium, The University of Tokyo Virtual Reality Educational Research Center
      • Dec. 2023
    • Learned and Evolving Cooperative Interactions, Swarm, and Thrills
      • (学習され進化する協調的インタラクション,群れ,スリル)
      • Ryosuke Takata
      • Cognitive Communication Workshop 2023
      • Sep. 2023
    • Emergent Cooperative Interaction and Collective Intelligence through Multi-Agent Reinforcement Learning
      • (マルチエージェント強化学習による協調的インタラクションの創発とCollective Intelligence)
      • Ryosuke Takata
      • Cognitive Communication Workshop 2022
      • Sep. 2022
    • Learn the fun of programming
      • (プログラミングの楽しさを知る)
      • Ryosuke Takata
      • Informatics Seminar, Faculty of Business Administration, Tokoha University
      • May. 2021
    • 2nd Smalruby Programming Koshien Finals, Talk Session
      • (第2回スモウルビー・プログラミング甲子園決勝大会 トークセッション)
      • Ryosuke Takata
      • Matz
      • Ayaka Ikezawa
      • 2nd Smalruby Programming Koshien Finals
      • Mar. 2017
    • Strategies in AI
      • (AIの戦略)
      • Ryosuke Takata
      • Smalruby Programming Koshien Seminar
      • Sep. 2016

    Dissertations

    • Emergence of Cooperative Interaction by Multi-Agent Reinforcement Learning
      • (マルチエージェント強化学習による協調的インタラクションの創発)
      • Ryosuke Takata
      • Master's Thesis, Department of Informatics, Graduate School of Integrated Science and Technology, Shizuoka University
      • Mar. 2022
      • (Supervisor: Yugo Takeuchi)
    • Cooperative Behavior with Creatures through Interactive Reinforcement Learning
      • (インタラクティブな強化学習を通したクリーチャとの協調行動の実現)
      • Ryosuke Takata
      • Graduation Thesis, Faculty of Informatics, Shizuoka University
      • Mar. 2020
      • (Supervisor: Yugo Takeuchi)
    • Research on Action Game AI to Discover Secret Tricks through Self Learning
      • (自己学習で裏技を発見するアクションゲームAIの研究)
      • Ryosuke Takata
      • Graduation Thesis, Department of Information Engineering, National Institute of Technology, Matsue College
      • Mar. 2018
      • (Supervisor: Tsuyoshi Hashimoto)

    Grants

    • Ikeda Scientific Co. Bridge Fellowship Grants
      • "Modeling Group Emergence Based on Learning in Play"
      • ¥ 500,000
      • Sep. 2022 - Mar. 2023
      • (Principal Investigator)
    • Google Cloud Research Credits
      • "Artificial Life Study in Simulated Environments"
      • $ 12,000
      • Aug. 2022 - Aug. 2023
      • (Principal Investigator)
    • Foudation for the Fusion Of Science and Technology (FOST)
      • "Developing NPCs that Thrill by Combining Instinct and Learned Value Functions"
      • ¥ 300,000
      • Feb. 2022 - Feb. 2023
      • (Principal Investigator)
      • (FOST Award)
    • SHIZUOKA TECH PLANTER
      • "Interpersonal Communication Support Based on Human-Agent Interaction Design"
      • ¥ 500,000
      • Nov. 2020 -
      • (Co-Investigator)

    Awards

    • Foudation for the Fusion Of Science and Technology (FOST)
      • FOST Award
      • Mar. 2024
    • HAI Symposium 2024
      • Student Encouragement Award
      • Mar. 2024
    • JAWS (Joint Agent Workshop & Symposium)
      • JAWS Excellence Award
      • Sep. 2023
    • Google Cloud Research Credits
      • GCP (Google Cloud Platform) Credit Award
      • Aug. 2022
    • Graduate School of Integrated Science and Technology, Shizuoka University
      • Dean's Award of Informatics
      • Mar. 2022
    • Hyper Interdisciplinary Conference 2022
      • Career Design Research Center Award
      • Mar. 2022
    • Shizuoka University
      • Outstanding Achievement Award
      • Dec. 2021
    • The toio Do! contest
      • Special Jury Award
      • May. 2021
    • HAI Symposium 2021
      • Student Encouragement Award
      • Mar. 2021
    • Let's Do Robots! - toio & Unity Movie Contest -
      • Special Jury Award
      • Dec. 2020
    • The 3rd Shizuoka Tech Grand Prix
      • Grand Prize
      • Yamaha Motor Prize
      • Hamamatsu Iwata Shinkin Bank Prize
      • Nov. 2020
    • Human Interface Cyber Colloquium
      • Best Presentation Award
      • Oct. 2020
    • Shizuoka University
      • Outstanding Achievement Award
      • Dec. 2019
    • The 8th Science Intercollegiate
      • Special Jury Award
      • Mar. 2019
    • National Institute of Technology, Matsue College
      • The Institute of Electrical and Information Engineers Award
      • Distinguished Service Award
      • Outstanding Achievement Award
      • Outstanding Graduate Student Award
      • Mar. 2018
    • The 39th IPSJ Conference on Game Informatics
      • Young Scientist Encouragement Award
      • Mar. 2018
    • The 1st Smalruby Programming Koshien
      • Championship
      • Mar. 2016

    Organizing Conference