Multi Agent Systems, Game Theory and Auctions
Game-theory and economics can provide a solid theoretical foundation
of autonomous agents and multi-agent systems. Also, due to recent
advances in Electronic Commerce, new application fields of autonomous
agents and multi-agent technologies, including Internet auctions, have
been growing very rapidly. However, some basic concepts of game-theory
and economics, such as equilibrium, rationality, uncertainty, etc.,
are not easily accessible to students with computer science or
engineering backgrounds. This lecture gives an introductory tutorial
of these basic concepts and their applications from the viewpoint of
computer science.
Biography
Makoto Yokoo received the B.E. and M.E. degrees in electrical
engineering, in 1984 and 1986, respectively, form the University of
Tokyo, Japan, and the Ph.D. degree in information and communication
engineering in 1995, from the University of Tokyo, Japan. From 1986 to
2004, he was a research scientist of Nippon Telegraph and Telephone
Corporation (NTT). He is currently a Professor of Information Science
and Electrical Engineering, Kyushu University. His research interests
include multi-agent systems, constraint satisfaction, and mechanism
design among self-interested agents. His pioneering work on constraint
satisfaction among multiple agents is published in "Distributed
Constraint Satisfaction: Foundation of Cooperation in Multi-agent
Systems" (Springer, 2001). He received the ACM SIGART Autonomous
Agents Research Award in 2004. He served as a program co-chair of the
Second International Joint Conference on Autonomous Agents and
Multi-Agent Systems (AAMAS-2003). He is an associate editor of
Journal of Artificial Intelligence Research. He is on the board of
directors of International Foundation for Multiagent Systems (IFMAS)
and Japan Society for Software Science and Technology.
