An emotion model for virtual agents with evolvable motivation

Authors:
Zhen Liu;Yuan Hong;Qiong Liu;Yan Jie Chai
Affiliations:
Faculty of Information Science and Technology, Ningbo University, Ningbo, China;Faculty of Information Science and Technology, Ningbo University, Ningbo, China;Faculty of Information Science and Technology, Ningbo University, Ningbo, China;Faculty of Information Science and Technology, Ningbo University, Ningbo, China
Venue:
Transactions on edutainment VI
Year:
2011

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Abstract

Modeling emotion for virtual agents is an interesting topic in virtual reality; autonomous virtual agents with emotion can enhance the authenticity of a virtual environment. Motivation and personality are psychological parameters for a virtual agent, motivation is the direct cause to promote an agent's emotion and behaviors, and an emotion model for virtual agents should include motivations. A computational emotion model for virtual agents with evolvable motivation is presented. First, a virtual agent's architecture that integrates emotion and motivation is proposed. Second, a fuzzy inference based emotion model with the consideration of personality and motivation is set up, a motivation priority evolves by genetic algorithms. Finally, an experiment is realized to verify effectiveness of the model.