Deliberation process in a BDI model with bayesian networks

Abstract

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. © Springer-Verlag Berlin Heidelberg 2009.