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Multi-Agent Systems Lab
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The lab explores how order emerges from a collection of autonomous entities.
AboutAbout the lab
Exploring how order emerges from individual behavior.
The Multi-Agent Systems Lab studies systems made up of multiple entities (agents) that make decisions while influencing one another.
Examples include animal flocks, human societies, and autonomous decentralized computer systems.
The lab aims to elucidate how order and equilibrium emerge from the behavior of individual agents, and to develop engineering applications of that understanding.
Its research is distinctively interdisciplinary, combining mathematical logic, game theory, distributed algorithms, and distributed optimization.
Key terms
- Formal methods
- Methods for rigorously verifying (proving) in a mathematical way that software specifications are written as intended
- Gossip protocol
- A procedure by which all nodes in a network come to share information through one-to-one communication between neighboring nodes
- Distributed constraint optimization
- A problem in which multiple agents cooperate to adjust the values of their own variables and find the combination that is optimal as a whole
- ADOPT
- A representative algorithm for solving distributed constraint optimization problems. It was believed to guarantee termination and optimality
NewsLab news
Lab information sessions held for students joining in the 2027 academic year (Oct 13 and Oct 21)
A paper by lab members accepted at ICPADS 2026
A master's student received the Program Leader's Award of the Degree Program in Computer Science
A paper by lab members accepted at MABS 2026 (joint research with INRIA)
A paper by lab members accepted as a full paper at AAMAS 2026
ResearchResearch themes
A system made up of multiple entities (agents) that make decisions while influencing one another is called a multi-agent system. The lab works to elucidate how order and equilibrium emerge from the behavior of individual agents, and on engineering applications of that understanding.
*Illustrative imageVerifying Systems with Formal Methods
The lab applies formal methods, which mathematically verify whether software specifications are as intended, to autonomous decentralized network systems. It also studies the fault tolerance of epistemic gossip protocols.
*Illustrative imageAnalyzing Public Opinion Formation and Games
In collaboration with the mOeX team at INRIA in France, the lab aims to clarify how knowledge and opinions influence each other to form public opinion. It also analyzes board games and card games as models of society.
*Illustrative imageDistributed Constraint Optimization
This work deals with the problem of multiple agents cooperating to find the combination of variable values that is optimal for the system as a whole. The lab presented counterexamples to the termination and optimality of ADOPT, a representative algorithm, and also proposed a corrected version.
MembersFaculty
The Multi-Agent Systems Lab consists of faculty members and graduate students in the doctoral and master's programs (including working-professional doctoral students and international students in a double degree program).As of 2026
- Associate ProfessorKoji Hasebe
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: “Flock of munia” Abhijith Photography / CC BY-SA 4.0 (cropped)
- Verifying Systems with Formal Methods: “Bluetooth network topology” Rob Blanco / CC BY-SA 2.5 es (cropped)
- Analyzing Public Opinion Formation and Games: “Container the board game” Gary James (@garyjames) / CC BY 3.0 (cropped)
- Distributed Constraint Optimization: “The flock of starlings acting as a swarm. - geograph.org.uk - 124593” John Holmes / CC BY-SA 2.0 (cropped)
- Related lab (Evolutionary Computation Lab): “The Ant Colony” Sudipta1243 / CC BY-SA 4.0 (cropped)
- Related lab (Edge Computing Lab): “Embedded World 2014 TI Developer Board” Ordercrazy / CC0 (cropped)
- Related lab (Black-Box Optimization Lab): “Server Room Terminals ( )” Jon Parise / CC BY-SA 2.0 (cropped)
- Related lab (Systems Mathematics Lab): “388 King - server room ( )” Mike Beltzner / CC BY-SA 2.0 (cropped)
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