DocumentCode :
2477360
Title :
The behavior selection of artificial life based on evaluation-tradeoff structure
Author :
Shao, Guifang ; Zhang, Xiaochuan ; Li, Zushu ; Tan, Zhi
Author_Institution :
Dept. of Pattern Recognition & Intell. Syst., Xiamen Univ., Xiamen
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
820
Lastpage :
824
Abstract :
Through the analysis of current reactive/deliberative structures, based on schema theory, according to bionics, this paper provides a new behavior selection structure. Firstly, simply analyses the existing methods of behavior selection; Secondly, introduces the behavior selection structure based on evaluation-tradeoff in detailly and proposes two concepts, namely perception satisfied degree and exhibition desired degree; Finally, taking soccer robot as experiment platform, describes the method on how to design behavior, analyses the experiment results which proves the validity of structure proposed in this paper. Simulation experiment results show that, based on this new behavior selection structure, the artificial life not only imitates the natural life behavior realistically in unknown environment, but also has higher dynamic programming intelligence.
Keywords :
artificial life; biocybernetics; dynamic programming; mobile robots; multi-robot systems; artificial life; behavior selection; bionics; dynamic programming intelligence; evaluation-tradeoff structure; exhibition desired degree; perception satisfied degree; schema theory; soccer robot; Artificial intelligence; Automation; Intelligent control; Intelligent robots; Intelligent structures; Intelligent systems; Machine intelligence; Organizing; Pattern recognition; Psychology; Artificial life; Behavior selection; Evaluation; Schema; Tradeoff;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593027
Filename :
4593027
Link To Document :
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