DocumentCode :
2247999
Title :
Artificial Ecological Pyramid Model and Its Application in Autonomous Robot Strategy System
Author :
Fangzheng, Xue ; Shuai, Fang ; Xinhe, Xu
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
fYear :
2004
fDate :
22-26 Aug. 2004
Firstpage :
913
Lastpage :
917
Abstract :
The artificial ecological pyramid model is proposed to solve complex problems, which is a layered evolutionary multi-agent system model. The model has three layers. The lowest layer is composed of "stimulation-response" agents called base agents. The second layer is composed of combined agents that are combinations of base agents. The top layer is composed of advanced agents that have reasoning capabilities. Agents in all layers must be up against the test of environment. Agents on the lowest layer can only improve their fitness evaluations by evolutional methods, and agents on upper layers can also improve their fitness evaluations by "eating" agents on lower layers. We also construct a strategy system based on artificial ecological pyramid model to solve the problem of rivalry between autonomous robots. The simulation results of the test on soccer robot system prove the model effect
Keywords :
ecology; evolutionary computation; mobile robots; multi-agent systems; multi-robot systems; artificial ecological pyramid model; autonomous robot strategy system; evolutionary multiagent system model; fitness evaluation; soccer robot system; stimulation-response agent; Artificial intelligence; Biological system modeling; Evolution (biology); Genetic algorithms; Intelligent agent; Intelligent networks; Intelligent robots; Intelligent structures; Neural networks; Partial response channels; HGA; MAS; autonomous robot system; soccer robot; strategy system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics, 2004. ROBIO 2004. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
0-7803-8614-8
Type :
conf
DOI :
10.1109/ROBIO.2004.1521906
Filename :
1521906
Link To Document :
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