Title: | A framework to investigate behavioural models |
Authors: | Barros, Leandro Motta Evers, Tatiana Figueiredo Musse, Soraia |
Citation: | Journal of WSCG. 2002, vol. 10, no. 1-2, p. 40-47. |
Issue Date: | 2002 |
Publisher: | UNION Agency |
Document type: | článek article |
URI: | http://wscg.zcu.cz/wscg2002/Papers_2002/F81.pdf http://hdl.handle.net/11025/5931 |
ISSN: | 1213-6972 (print) 1213-6980 (CD-ROM) 1213-6964 (online) |
Keywords: | behaviorální animace;autonomní agenti;inteligentní fotoaparát |
Keywords in different language: | behavioural animation;autonomous agents;inteligent camera |
Abstract: | This paper presents a framework to investigate behavioural models of multiple agents. The framework is designed to deal with problems commonly found in behavioural animation systems, most of which are caused by excessive coupling between the system modules. Hence, the framework is designed to be modular, exible and extensible. Behavioural animation models based on this framework are clearly divided in modules that can be independently designed and developed. Furthermore, these modules can be easily substituted, modi ed and reused. We present modules related to crowd behaviour, intelligent camera, and virtual environment and how these are integrated using the Python programming language. We also discuss visualization aspects, which are addressed by yet another module. |
Rights: | © UNION Agency |
Appears in Collections: | Volume 10, number 1-2 (2002) |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/5931
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