Abstract. We study the problem of predictive data mining in the competitive multi-agent setting, in which each agent is assumed to have some partial knowledge needed for correctly ...
Most agent systems today are closed and static. That is, one uses Agent-Oriented Software Engineering techniques to build agent systems in which the set of agents is specified ahe...
Abstract. Multi-agent domains consisting of teams of agents that need to collaborate in an adversarial environment offer challenging research opportunities. In this paper, we intro...
Abstract: This paper presents a multiagent architecture and algorithms for collaborative, self-organizing learning in distributed, heterogeneous and dynamic business systems, where...
Abstract--In the network-centric computing era, applications often involve sets of autonomous, unpredictable, and possibly mobile entities interacting within open, dynamic, and pos...