Human experience with interactive games will be enhanced if the software agents that play the game learn from their failures. Techniques such as reinforcement learning provide one...
This paper addresses an ongoing experience in the design of an artificial agent taking decisions in a role playing game populated by human agents and by artificial agents. At fi...
This paper considers resource allocation in a network with mobile agents competing for computational priority. We formulate this problem as a multi-agent game with the players bei...
In this paper, we defend the idea of integrating the actual cognitive features of novice users in the creation process of the applications to significantly increase the quality of...
What reasoning patterns do agents use to choose their actions in games? This paper studies this question in the context of Multi-Agent Influence Diagrams (MAIDs). It defines sev...