DocumentCode :
384619
Title :
Swarm intelligence: theoretical proof that empirical techniques are optimal
Author :
Iourinski, Dima ; Starks, Scott A. ; Kreinovich, Vladik ; Smith, Stephen F.
Author_Institution :
Center for Earth & Environ. Studies, Texas Univ., El Paso, TX, USA
Volume :
13
fYear :
2002
fDate :
2002
Firstpage :
107
Lastpage :
112
Abstract :
A natural way to distribute tasks between autonomous agents is to use swarm intelligence techniques, which simulate the way social insects (such as wasps) distribute tasks between themselves. In this paper, we theoretically prove that the corresponding successful biologically inspired formulas are indeed statistically optimal (in some reasonable sense).
Keywords :
artificial intelligence; multi-agent systems; optimisation; autonomous agents; intelligent system; optimality proof; probability; social insects; swarm intelligence; Autonomous agents; Biological system modeling; Collaboration; Computer aided manufacturing; Evolution (biology); Insects; Intelligent robots; Parallel robots; Particle swarm optimization; Robot kinematics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Congress, 2002 Proceedings of the 5th Biannual World
Print_ISBN :
1-889335-18-5
Type :
conf
DOI :
10.1109/WAC.2002.1049529
Filename :
1049529
Link To Document :
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