A path planning algorithm for intelligent virtual agent

This paper focuses on how to give the intelligent virtual agent (IVA) behaviors with personalized features. It takes full account of the impact of personality and emotion factor on IVA´s behavior, and proposes a path planning algorithm influenced by personality parameters - PD* (Personality D*) algorithm, which is improved on the basis of D* algorithm. PD* algorithm set different level of dangerous coefficient which is associated with IVA´s personality, and adopts Heuristic search function based on energy to realize path planning with personality characteristic. The algorithm was tested and applied to an IVA in a Smart Home.