DocumentCode :
2640640
Title :
Emergent behavior based on disparity of individual capability
Author :
Iio, Takamasa ; Tanev, Ivan ; Shimohara, Katsunori
Author_Institution :
Doshisha Univ., Kyoto
fYear :
2007
fDate :
17-20 Sept. 2007
Firstpage :
1588
Lastpage :
1592
Abstract :
We present the result of our research on the emergent behavior of heterogeneous agents in multi-agent system (MAS). We extended the commonly considered MAS for the predator prey problem (PPP), initially comprising homogeneous predator agents into heterogeneous MAS featuring predator agents with diverse sensory and moving abilities. Moreover, we evolved, via genetic programming, the behavior of these agents, and discovered the emergence of a characteristic behavior that is (i) unique to the heterogeneous systems, (ii) well specialized to fit the individual morphological features of the agents, and (iii) more efficient than that of the homogeneous agents.
Keywords :
genetic algorithms; multi-agent systems; genetic programming; heterogeneous MAS; homogeneous predator agents; multiagent system; predator prey problem; Application software; Artificial intelligence; Computer science; Distributed computing; Genetic programming; Information systems; Intelligent robots; Knowledge engineering; Multiagent systems; Problem-solving; Credit Assignment Problem; Emergent Behavior; Heterogeneous Agents; Multi-Agent System;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE, 2007 Annual Conference
Conference_Location :
Takamatsu
Print_ISBN :
978-4-907764-27-2
Electronic_ISBN :
978-4-907764-27-2
Type :
conf
DOI :
10.1109/SICE.2007.4421236
Filename :
4421236
Link To Document :
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