TítuloMulti-context specification for graded BDI-agent
Publication TypeBook Chapter
Year of Publication2005
AuthorsCasali A, Godo L, Sierra C
EditorGhidini C
Book TitleDoctoral Consortium - Fifth International Conference on Modeling and Using Context (CONTEXT-05). Research Report LIP 6, Paris, Francia, Julio de 2005
Paginación31 - 40

In the recent past, an increasing number of multiagent systems have been designed to engineer complex distributed systems. Among the proposed architectures, one of the most widely used is the BDI agent presented by Rao and Georgeff. We consider that in order to apply agents in real domains, it is important for the formal models to incorporate uncertainty representation. With that aim we introduce in this work a general model for graded BDI agents, based on multi-context systems. The multicontext approach provides an adequate platform to specified agents, allowing a suitable representation of the graded mental attitudes, and their interactions. The architecture proposed serves as a blueprint to design different kinds of particular agents.