Research on the Model of Emotional Graded BDI Agents
Zhang Xiao · 2013
In recent years,the Belief-Desire-Intention model is one of the most influential theories with respect to agent technology.Propositional dynamic logic and the infinite-valued ukasiewicz logic are blended to formulize the emotional graded BDI model.In order to represent the uncertainty behaviors by belief,desire,intention,fear,anxiety and self-confidence degree,the corresponding axioms are added to the ukasiewicz logic.The proposed emotional graded BDI agent model explicitly represents the uncertainty of mental attitudes and emotional states.The behavior of emotional graded BDI agent is determined by the different measure of each context which is added by concrete conditions.The model of beliefs,desires,intentions,fear,anxiety and self-confidence are axiomatized,and how they influence the behavior of agent is shown.This model is general enough to specify different types of agents.On the basis of presenting the language and semantics for this model,the axioms and rules are proposed for the emotional graded BDI logic and the dependability and completeness of the logic are proved.After illustrating the interrelations between different contexts for the model,an application of an emotional graded BDI agent for purchasing houses is given.Aiming at the representation and reasoning for the uncertainty,a formal support for distributed artificial intelligence is provided.