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Communication Dans Un Congrès Année : 2010

SAM : Semantic Agent Model for SWRL rule-based agents

Pierre Maret

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.
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Dates et versions

hal-00531368 , version 1 (02-11-2010)

Identifiants

  • HAL Id : hal-00531368 , version 1

Citer

Julien Subercaze, Pierre Maret. SAM : Semantic Agent Model for SWRL rule-based agents. International Conference on Agents and Artificial Intelligence, Jan 2010, Valencia, Spain. pp.244-248. ⟨hal-00531368⟩
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