A context-aware architecture for mental model sharing in intelligent agents

Abstract

Nowadays, with the growth of applying multi agent design paradigms in recent applications, the idea of using mental models for enabling autonomous agents to collaborate is getting more attention. In this paper, an architecture is presented for sharing the mental models through a kind of transition from the agents' present mental states to some new states that can become as conflict less as much toward each other. This architecture has been inspired by a variety of mental models in humans and supports agents working in different simultaneous contexts. Our test bed to evaluate this architecture is complex scenarios which are likely impossible to be resolved by individual agents without sharing. We believe the proposed architecture would be able to provide agents with the capability of generating more consistent behaviors between them.