This award supports a workshop that will foster interdisciplinary collaboration between two scientific communities -- economics and multi-agent systems. Multi-agent systems (MAS) researchers often rely on economic theory to develop concepts and design mechanisms without fully understanding or even knowing about the latest research in economics and game theory. By increasing information exchange between these communities, it is hoped that as new developments arise in these fields, interested researchers can more quickly assimilate them. In addition, by embedding the latest economic theories in multi-agent systems, these systems should become more robust, stable and able to achieve Pareto optimal outcomes.

Agency
National Science Foundation (NSF)
Institute
Division of Information and Intelligent Systems (IIS)
Type
Standard Grant (Standard)
Application #
9820873
Program Officer
Ephraim P. Glinert
Project Start
Project End
Budget Start
1999-09-15
Budget End
2002-06-30
Support Year
Fiscal Year
1998
Total Cost
$55,723
Indirect Cost
Name
Brookings Institution
Department
Type
DUNS #
City
Washington
State
DC
Country
United States
Zip Code
20036