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Multi-Agent Lab
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The lab studies the institutional design of systems that contain multiple intelligent agents.
AboutAbout the lab
Designing and analyzing the rules of systems with multiple agents.
The Multi-Agent Lab studies multi-agent systems, in which multiple intelligent entities (agents) exist.
The lab focuses on systems like the Internet, where humans and agents (software) coexist, and describes problems such as lab assignment and e-commerce within the frameworks of game theory and microeconomics.
Using techniques from algorithms and optimization, the lab designs and analyzes systems and social institutions.
Key terms
- Multi-agent system
- A system in which multiple intelligent entities (agents) exist. This includes cases where humans and software are mixed
- Mechanism design
- Designing rules so that situations in which multiple participants make decisions, such as trading or policy making, lead to desirable outcomes
- Stable marriage problem
- The problem of deciding matches based on the preferences of both sides, as in assigning students to graduation research
ResearchResearch themes
The lab studies multi-agent systems, in which multiple intelligent entities (agents) exist. It works on designing rules for groups of self-interested agents, coordinating the behavior of cooperative agents, and analyzing equilibria in repeated games. Its subjects include combinatorial auctions in e-commerce, facility location problems, matching, and sensor networks.
*Illustrative imageMechanism Design
In situations where multiple participants make decisions, such as trading or policy making, the lab designs rules of interaction that lead to socially desirable outcomes. Because participants are self-interested, the design must make following the rules in each participant's own interest.
*Illustrative imageDeveloping an Assignment Method for Graduation Research
Assigning students to graduation research is an instance of the stable marriage problem, and conventional methods could not satisfy the constraint that every lab receives at least one student. The lab developed a method that satisfies this constraint and makes it optimal for students to state their true preferences. It has been used for assignments in the Department of Electrical Engineering and Computer Science since 2011.
MembersFaculty
The members of the Multi-Agent Lab consist of faculty members, academic researchers, doctoral, master's, and undergraduate students, and a secretary.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: “Roundabout interchange” Petar Milošević / CC BY-SA 4.0 (cropped)
- Mechanism Design: “Microcosm of London Plate 006 - Auction Room, Christie's (colour)” Thomas Rowlandson (1756–1827) and Augustus Charles Pugin (1762–1832) (after) John Bluck (fl. 1791–1819), Joseph Constantine Stadler (fl. 1780–1812), Thomas Sutherland (1785–1838), J. Hill, and Harraden (aquatint engravers)[1] / Public domain (cropped)
- Developing an Assignment Method for Graduation Research: “A girl matching fitting shapes in a puzzle - DPLA - 159c125c14a53df8546e2557adb4ed9e” Sanromá, John B. / Public domain (cropped)
- Related lab (システム数理研究室): “An UAV displayed by Vyomik drones at Amaravati Drone summit (01)” iMahesh / CC BY-SA 4.0 (cropped)
- Related lab (3次元マルチメディアコンテンツ研究室): “Dynamic 3D Digital Clothing Model by CG Elves Purple” CGElves / CC BY-SA 4.0 (cropped)
- Related lab (高性能計算研究室): “IBM Blue Gene P supercomputer” Argonne National Laboratory's Flickr page / CC BY-SA 2.0 (cropped)
- Related lab (アルゴリズム論研究室): “RechargingSwarm” Serge Kernbach / CC BY-SA 3.0 (cropped)
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