Searching Common Pattern in Agents Behaviors with Usage of FCA

摘要

MAS operation brings quite a number of tasks related to behaviors of intelligent agents. More precisely, understanding of agents behaviors and their relationships enables to optimize the whole MAS architecture. The usage of FCA in the area of Multi-agent systems can facilitate solutions of several tasks and/or point to certain data relations, which should be further analyzed in more detail. This paper briefly describes the Triadic Formal Concept Analysis (FCA) which helps us to find some hidden information on MAS and agents interaction. The process of FCA integration within MAS is illustrated on the area of traffic simulation.