An Ontology-Based Approach to Interoperability for Bayesian Agents

This paper presents an ontology-based approach to pro-mote the interoperability among agents that represent their knowledge through Bayesian networks. This research re-lies on semantic web foundations to achieve knowledge in-teroperability in the context of multiagent systems. Our first step was the specification of an ontology that formal-izes the structures of the Bayesian network representation. Once handled the issue of the knowledge representation, we specify how a Bayesian agent operates such representation. Thus, we define a model of internal architecture to support Bayesian agents in the knowledge sharing and maintenance tasks