Abstract
In this paper, behavior model is established by adopting artificial neural network for virtual characters to resolve the reality of virtual characters behavior modeling in intelligent virtual environments, including acquiring training samples, data standardization, neural network training and application. This method improves on running performance, modeling efficiency and complexity of traditional cognitive model, which makes virtual characters adapting to changeability of virtual environments better, and plans behaviors according to diversity of virtual environments intelligently and autonomously.
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Zhao, Y., Liu, X., Wu, Q. (2013). A Behavior Modeling Method of Virtual Characters Approximated by Artificial Neural Network. In: Tan, Y., Shi, Y., Mo, H. (eds) Advances in Swarm Intelligence. ICSI 2013. Lecture Notes in Computer Science, vol 7928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38703-6_59
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DOI: https://doi.org/10.1007/978-3-642-38703-6_59
Publisher Name: Springer, Berlin, Heidelberg
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