Analysis of Mental Attributes for the Conflict Resolution in Multiagent Systems

Boris Galitsky

This study addresses the problem of constructing an adequate strategy for conflict resolution in the situations with high uncertainty and inconsistent goals. We develop the formal representation for such concepts as informing, cheating, explaining, offending, forgiving, pretending, reputation etc. to model the various forms of multiagent conflict behavior. These concepts are defined in the basis of mental states triple intention-knowledge-belief with an arbitrary predicate for action. We use the multiagent simulation tool with metalanguage support (MS) with the embedded metapredicates of mental state and action to provide the automatic agent with the ability to model the human agents with various degrees of reflection (Galitsky, 1998a). This tool raises the inference flexibility and expressiveness means to represent the formal scenarios of multiagent interaction and conflict resolution methodology. MS capabilities of conflict resolution are demonstrated in the domain of the advertisement scheduler for the broadcasting industry. Automatic agent models the mental states and behavior of the group of human agents during the process of building the schedule with inconsistent and informal constraints and uncertain interaction between these agents. Reasoning about action and change, belief, and temporal reasoning; automatic, incremental, interactive and multiagent modes of the automatic agent demonstrate its capabilities for conflict detection and resolution.

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