Research on the Agent's Behavior Decision-making Based on Artificial Emotion

Abstract

Emotional intelligence is an important branch of artificial intelligence, it is an important way to achieve the truly intelligent robot. This paper regards an Agent living in a virtual environment as the research object and proposes a fuzzy emotion model based on particle system, and combines the feedback signal of emotion with associative learning mechanism based on CMAC neural network. Finally, combined the environment, emotion model and CMAC network we propose a new Agent's behavior decision-making model based on artificial emotion, the results show that this model can improve the performance of the agent.