Title: Simulating virtual character's learning behavior as an evolutionary process using genetic algorithms
Authors: Wan, Tao Ruan
Tang, Wen
Citation: WSCG '2002: Short Communication Papers: The 10-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2002, 4.-8. February 2002 Plzeň: Conference proceedings, p. 137-144.
Issue Date: 2002
Publisher: UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/wscg2002/Papers_2002/C29.pdf
ISBN: 1213-6972 (hardcopy)
1213-6980 (CD-ROM)
1213-6964 (on-line)
Keywords: virtuální postavy;řízení pohybu;genetický algoritmus;virtuální prostředí
Keywords in different language: virtual characters;motion control;genetic algorithm;virtual environment
Abstract: In this paper, we describe a genetic algorithm approach to simulate complex virtual character's learning behaviours as an evolutionary process. The method presented here enables virtual character to have abilities to learn for specific assigned tasks. The skill for the task can be developed and evolved through the experiences of performing the task. The animation system presented here has two tightly coupled simulation units, which are an artificial brain unit for learning and controlling and a physics-based motion simulation unit driven by simulated muscle forces.
Rights: © UNION Agency
Appears in Collections:WSCG '2002: Short Communication Papers

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/6047

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