Cognitive Modeling and Group Adaptation in Intelligent Multi-Agent Meeting Scheduling

Abstract

In the framework of meeting scheduling problems, we present an approach where for every agent the behavior of other agents is explained in terms of a common cognitive structure. This structure accounts for the combination of emotional and intellectual factors which produce a particular behavior when confronted to a particular situation generated by an ecology of truly decentralized agents, interacting in a concurrent way. The cognitive structure is translated into a computational architecture intended for empirical experimentation. We present a research perspective aimed to investigate group adaptation and evolution as a consequence of the refinement of every agent cognitive model that each agent maintain.