Modelling emotional agents based on graded BDI architectures

Abstract

In this paper I present an improved version of the emotional BDI logic and the graded BDI logic to model Emotional Graded BDI agent's behavior determined by the different measure of each context which is added by concrete conditions. I blend the infinite-valued Łukasiewicz Logic and Propositional Dynamic Logic to formulize the Emotional Graded BDI model which explicitly represents the uncertainty of mental attitudes and emotional states. This paper is to look for a possible axiomatic modelling of beliefs, desires, intensions, fear, anxiety and self-confidence, and to show how they influence the agent's behavior. After presenting the language and semantics for this model, I propose axioms and rules for the emotional graded BDI logic and prove its soundness and completeness. On the basis of illustrating relationship between/among contexts for the model, an application of an Emotional Graded BDI agent is given. © Springer-Verlag Berlin Heidelberg 2012.