Most of the research on multiagent systems has focused on the development of rational utility-maximizing agents. However, research shows that emotions have a strong effect on peo...
Abstract. Autonomous agents decide for themselves, on the basis of their beliefs, goals, etc., how to act in an environment. However, it is often the case that an agent is motivate...
—In decentralized settings with partial observability, agents can often benefit from communicating, but communication resources may be limited and costly. Current approaches ten...
This paper presents a knowledge approach to designing team training systems using intelligent agents. We envision a computer-based training system in which teams are trained by pu...
Jianwen Yin, Michael S. Miller, Thomas R. Ioerger,...
Abstract. Learning in a multiagent environment is complicated by the fact that as other agents learn, the environment effectively changes. Moreover, other agents’ actions are oft...