ECAI 2004 Conference Paper

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The KGP Model of Agency

Antonis Kakas, Paolo Mancarella, Fariba Sadri, Kostas Stathis, Francesca Toni

This paper presents a new model of agency, called the $KGP$ ({\bf K}nowledge, {\bf G}oals and {\bf P}lan) model. This model draws from the classic $BDI$ model proposing a hierarchical agent architecture with a highly modular structure that synthesises together various reasoning and sensing capabilities of the agent in an open and dynamic environment. The novel features of the model include: its innovative use of Computational Logic (CL) in a way that facilitates both the formal analysis of the model and its computational realisability directly from the high-level specification of the agents (a first implementation platform for the development of $KGP$ agents exists); the modular separation of concerns and flexibility afforded by the model in designing heterogeneous agents and in developing independently the various components of an agent; and the declarative agent control provided through a context-sensitive cycle CL theory component of the agent that regulates its operational behaviour, according to the current circumstances of operation thus breaking away from the one-size-fits-all control of operation.

Keywords: Autonomous agents, Logic Programming, Multi-agent systems

Citation: Antonis Kakas, Paolo Mancarella, Fariba Sadri, Kostas Stathis, Francesca Toni: The KGP Model of Agency. In R.López de Mántaras and L.Saitta (eds.): ECAI2004, Proceedings of the 16th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2004, pp.28-32.

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ECAI-2004 is organised by the European Coordinating Committee for Artificial Intelligence (ECCAI) and hosted by the Universitat Politècnica de València on behalf of Asociación Española de Inteligencia Artificial (AEPIA) and Associació Catalana d'Intel-ligència Artificial (ACIA).