DocumentCode
1847851
Title
Evolutionary swarm intelligence applied to robotics
Author
Givigi, Sidney N., Jr. ; Schwartz, Howard M.
Author_Institution
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont., Canada
Volume
2
fYear
2005
fDate
29 July-1 Aug. 2005
Firstpage
1005
Abstract
In this paper, we discuss some techniques for achieving swarm intelligent robots through the use of traits of personality. Traits of personality are characteristics of each robot that, altogether, define the robot´s behaviours. We discuss the use of evolutionary psychology in order to select a set of traits of personality that evolve due to a learning process based on reinforcement learning. The use of game theory is introduced and a simulation showing its potential is reported.
Keywords
artificial life; evolutionary computation; game theory; intelligent robots; learning (artificial intelligence); psychology; evolutionary psychology; evolutionary swarm intelligence; game theory; learning process; personality traits; reinforcement learning; robot behaviour; robotics simulation; swarm intelligent robot; Biological system modeling; Computational modeling; Game theory; Intelligent robots; Learning; Particle swarm optimization; Predictive models; Psychology; Robot sensing systems; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation, 2005 IEEE International Conference
Print_ISBN
0-7803-9044-X
Type
conf
DOI
10.1109/ICMA.2005.1626689
Filename
1626689
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