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 conferenceObject |
URI: | http://wscg.zcu.cz/wscg2002/Papers_2002/C29.pdf http://hdl.handle.net/11025/6047 |
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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
C29.pdf | Plný text | 191,92 kB | Adobe PDF | View/Open |
C29.avi | Video | 954,5 kB | AVI | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/6047
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