Deliberation Process in a BDI Model with Bayesian Networks

Authors:
Moser Silva Fagundes;Rosa Maria Vicari;Helder Coelho
Affiliations:
Instituto de Informática, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brasil 91.501-970;Instituto de Informática, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brasil 91.501-970;Faculdade de Ciências Universidade de Lisboa, Lisboa, Portugal 1749-016
Venue:
Agent Computing and Multi-Agent Systems
Year:
2009

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Abstract

This paper presents a way to perform the deliberation process in a BDI model with Bayesian networks. The assemblage of mental states and Bayesian networks is done by viewing beliefs as networks, and desires and intentions as particular chance variable states that agents pursue. We are particulary concerned with the deliberation about which states of affairs the agents will intend. Perception, planning and execution of plans lie outside the scope of this paper. Our proposal introduces the notion of threshold function to change the agent behavior, and we also discuss the intention selection and the compatibility verification among proactive mental states.