Multi-agent games are becoming an increasingly prevalent formalism for the study of electronic commerceand auctions. The speed at which transactions can take place and the growing...
Satinder P. Singh, Michael J. Kearns, Yishay Manso...
Typically agent evaluation is done through Monte Carlo estimation. However, stochastic agent decisions and stochastic outcomes can make this approach inefficient, requiring many s...
Michael H. Bowling, Michael Johanson, Neil Burch, ...
This paper presents the dynamics of multiple reinforcement learning agents from an Evolutionary Game Theoretic (EGT) perspective. We provide a Replicator Dynamics model for tradit...
Security at major locations of economic or political importance is a key concern around the world, particularly given the threat of terrorism. Limited security resources prevent f...
James Pita, Manish Jain, Janusz Marecki, Fernando ...
Several methodologies based on Multi-agent Systems (MAS) already exist. They help designers to describe software or to create MAS which aim at solving complex problems by simulati...
Nicolas Marilleau, Christophe Lang, Pascal Chatonn...