AI-powered Collective Intelligence
We are interested in collective intelligence in which people, computers and AI agents reach agreement and cooperate with one another: AI-powered Collective Intelligence. Recent research shows that the collective intelligence of a human group can surpass that of any individual. When highly networked computers and AI join human groups, far larger-scale, more efficient and more advanced intelligence becomes possible. Progress in AI, exemplified by today's large language models, has been remarkable, and dramatically more capable AI agents are now a reality. By having these AI agents and people agree and cooperate with one another, we aim to bring out an unprecedented form of collective intelligence and to realize entirely new social systems.
Multiagent AI provides the methodology and concepts for realizing new social systems and for enhancing human collective intelligence with intelligent information technology. In the Consensus Informatics group we explore the possibilities of new social systems while investigating the essence of social intelligence, and put them into practice in society. Centered on AI and multiagent AI, our research covers consensus-building support, computational mechanism design, automated negotiating agents, large language models, distributed reinforcement learning, service computing, IoT, argumentation theory, social simulation and more. We pursue both theoretical research that aims high and business application that faces hard reality.
Members
In the Ito Laboratory, faculty and students work together to cultivate humanity, creativity, intelligence, stamina and an international outlook.
Faculty and Staff
Takayuki Ito伊藤孝行Professor
Rafik HadfiProgram-Specific Associate Professor
Ryuta Arisaka蟻坂竜太Lecturer
Shiyao Ding丁世堯Assistant Professor
Sofia SahabProgram-Specific Assistant Professor
Zehua SiZehua SIProgram-Specific Assistant Professor
Jawad HaqbeenResearcher
Rika Ikebe池辺理香Administrative Staff
Students
Yihan DongDONG YihanD4
Tianyou GaoTianyou GAOD2
Hana Momoi百井花D2
Hanwen Zhang张瀚文 / ZHANG GUO-QINGD1
Qilong WuWU QILONGD1
Yu Kimura木村 優D
Chengyu JiangJiang chengyuM2
Hoi Fu ChouM2 (Oct 2024)
Sosa Kuroda黒田爽冴M2
Akito Shitara設楽朗人M2
Kenta Nakatsuka中塚健太M2
Kazuma Fukumura福村和真M2
Toshiya Murashige村重寿弥M2
Soma Watanabe渡邊聡磨M2
Lingxiao HanHan LingxiaoM2
Rei Matsui松井玲M2
Keitaro Ogawa小河恵太朗M2
Kazuki Miyoshi三好和樹M2
RoshiaM2
Kento Yasui安井健人M1 (Oct 2025)
Enci Yue岳恩赐M1 (Oct 2025)
Kenji Imai今井健二M1
Naoku Susami須佐見 尚玖M1
Haruki Takada高田温生M1
Rintaro Toyama遠山麟太郎M1
Shunki Horinouchi堀之内 駿輝M1
Claudio GonzalezClaudio GONZALEZM1
Vitor Rodgigues CostaVitor Rodgigues COSTAM1
Kaiyang ChenCHEN KAIYANGM1
Bohan LuLu BohanM1
Koshiro Kawahara河原広志郎M1
Takeru Matsushima松島丈翔M1
Miyu Okada岡田美優B4
Ato Kanamori金森 斡斗B4
Kota Miyamoto宮本倖多B4
Shora Yamashita山下将来B4
Kuki Kawase川瀬空輝B4
Tomoki Fujita藤田智稀B4
Takamasa Uchida内田崇雅B4
Collaborators
- Tokuro Matsuo Professor, Fujita Health University
- Shun Shiramatsu Professor, Nagoya Institute of Technology
- Susumu Ohnuma Professor, Hokkaido University
- Shun Okuhara Lecturer, Mie University
- Takanobu Otsuka Associate Professor, Nagoya Institute of Technology
- Wen Gu Associate Professor, Nagoya Institute of Technology
- Donghui Lin Associate Professor, Okayama University（former lab member, Program-Specific Associate Professor）
Research Topics
Agent-based Crowd Decision Support
We support crowd decision-making with agent technology. We have developed the systems Collagree and D-agree, which are used in the real world. Building on them, our current CREST project studies a new form of democracy platform.
Automated Negotiating Agents
Research on agents that negotiate autonomously. We explore negotiation theory starting from the fundamental question of what negotiation is, design negotiation models, and implement automated negotiating agents based on those models.
Computational Mechanism Design
We design mechanisms in which truthful reporting is the best strategy. Social institutions (mechanisms) are designed with game theory and microeconomics; in particular we design new mechanisms from an informatics viewpoint and clarify and resolve open problems in classical theory.
Industrial Application with AI technologies
Through broad industry collaboration, we research and develop software that solves industrial problems in advanced ways. Recently we focus in particular on approaches using deep learning.
Argumentation Theory
Mathematical and theoretical research on logical argumentation among agents. Beyond existing logics of argumentation, we study topics such as acceptability under the influence of arguments, with real-world argumentation applications in mind.
Multiagent Simulation
We realize simulations of large-scale social systems with multiagent technology, built from collections of micro-level activity models. By linking social and physical systems in a multi-layer structure, we also aim at unified, comprehensive simulation.
Multiagent DRL for Cooperation
Multiple actors gain a real advantage only when appropriate cooperation emerges, as in the saying "two heads are better than one." To study the emergence of such cooperation, we are currently working on multiagent deep reinforcement learning.
Decision Making, Group Decision Making and Consensus
We study human decision-making, group decision-making and consensus building, and develop methods to support them. We focus on social networks and crowds in particular, and also tackle the problem of how to estimate and extract the preferences and opinions of individuals.
Check Out The Video
Promotion videos of D-Agree, a large-scale discussion support system based on automated facilitation agents. It extracts valuable opinions, structures the discussion and supports consensus building.
Introduction video of the laboratory.
Contact
Please contact us at the address below.
Takayuki Ito Laboratory (Consensus Informatics)Department of Social Informatics, Graduate School of Informatics
Kyoto University
Yoshida-honmachi, Sakyo-ku, Kyoto 606-8501, Japan
TEL: +81-75-753-4820 (secretary)
E-mail: contact {at} agent.soc.i.kyoto-u.ac.jp