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.
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Liu, Z., Hong, Y., Liu, Q., Chai, Y.J. (2011). An Emotion Model for Virtual Agents with Evolvable Motivation. In: Pan, Z., Cheok, A.D., Müller, W. (eds) Transactions on Edutainment VI. Lecture Notes in Computer Science, vol 6758. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22639-7_16
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DOI: https://doi.org/10.1007/978-3-642-22639-7_16
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