Research

Contact Us


Satinder S. Baveja, Director
3749 Beyster Bldg.
Ann Arbor, MI 48109-2121
PH: 734-936-2831
baveja@eecs.umich.edu


Kimberly Mann
Research Proc. Coordinator
3820 Beyster Building
Ann Arbor, MI 48109-2121
PH: 734-763-6985
Fax: 734-763-1260
kimrmann@umich.edu

Multiagent and Economic Systems

Overview
Environments with multiple autonomous agents present specialopportunities and pose distinct challenges for design and analysis of AI systems. An individual agent may coordinate with others to improve performance through intelligent selection of physical, communicative, and/or computational actions. The agent may also reason strategically, to predict what the other agents may do based on their presumed self-interests. A multiagent environment is effectively a social system, and thus analyzing multiagent behavior can often be informed by social science. Multiagent systems research at Michigan considers all perspectives, from individual agent to social designer.

We design planning and learning algorithms suitable for multiagent contexts, and methods for analyzing networks of agents as organizations, economies, and societies. Our work also spans the range from theory to practice. We conduct fundamental research in distributed coordination, algorithmic game theory, and social computing, and apply our techniques to real-world problems in areas such as healthcare, electronic commerce, and finance.
 
Faculty
Abernethy, Jacob
Baveja, Satinder Singh
Durfee, Edmund H
Wellman, Michael


Affiliated Faculty
Schoenebeck, Grant


Related Labs, Centers, and Groups
Distributed Intelligent Agents Group