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Multi-Agent Lab
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A lab that studies the design of rules for systems containing multiple intelligent entities.
AboutAbout the lab
Designing the rules of collective decision-making.
The Multi-Agent Lab studies multi-agent systems, which are systems that contain multiple intelligent entities (agents).
Focusing on settings such as the Internet where humans and software coexist, the lab describes problems such as lab assignment and e-commerce within the frameworks of game theory and microeconomics.
Building on this, it uses algorithmic and optimization techniques to design and analyze systems and social institutions.
The lab accepts questions about its research and lab visits at any time.
Key terms
- Multi-agent system
- A system that contains multiple intelligent entities (agents). It also covers cases where humans and software are mixed
- Mechanism design
- The design of rules for interaction that lead to desirable outcomes when participants make social decisions. Also called institutional design
ResearchResearch themes
The lab studies systems that contain multiple intelligent entities (agents), with a particular focus on mechanism design, which designs the rules of collective decision-making. It also works on distributed constraint satisfaction, which coordinates the actions of cooperating agents, and on equilibrium analysis in repeated games. Specific subjects include combinatorial auctions in e-commerce, facility location problems, the stable marriage problem (matching), and sensor networks.
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MembersFaculty
The members of the Multi-Agent Lab consist of faculty, academic researchers, secretaries, and doctoral, master's, and undergraduate students.As of 2026
- Project ProfessorMakoto Yokoo
- Associate ProfessorTaiki Todo
- Associate ProfessorKei Kimura
- Associate ProfessorZhaohong Sun
- Assistant ProfessorMiyuki Kishimura
- Assistant ProfessorXinhang Lu
- Assistant ProfessorXin Huang
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Agreement-between-TCO-and-SACO” Unknown photographer / Public domain (cropped)
- Mechanism Design (Institutional Design): “Fish auction in Numazu (55539)” Syced / CC0 (cropped)
- Related lab (機械学習理論研究室): “Decision Tree Anatomy” Lapollard / CC BY-SA 4.0 (cropped)
- Related lab (感覚情報処理研究室): “Structure of sensory system (4 models) E” Shigeru23 / CC BY-SA 3.0 (cropped)
- Related lab (統計的学習研究室): “AI relation to Generative Models subset, venn diagram” The Original Benny C / CC BY-SA 4.0 (cropped)
- Related lab (認知科学研究室): “Driving car on a road” Tenasan / CC BY-SA 4.0 (cropped)
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