SAM : Semantic Agent Model for SWRL rule-based agents
Résumé
SemanticWeb technologies are part of multi-agent engineering, especially regarding knowledge base support. Recent advances in the field of logic for the semantic web enable a new range of applications. Among them, programming agents based on semantic rules is a promising field. In this paper we present a semantic agent model that allows SWRL programming of agents. Our approach, based on the extended finite state machine concept, results in a three layers architecture. We detail the architecture, the syntax of the rules , the agent interpreter cycle and present a prototype validating the concept. We present two distinguished features of our approach : behavior exchanges and consistency checking.
Domaines
Système multi-agents [cs.MA]Origine | Fichiers produits par l'(les) auteur(s) |
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