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
fDate :
29 July-1 Aug. 2005
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;
Conference_Titel :
Mechatronics and Automation, 2005 IEEE International Conference
Print_ISBN :
0-7803-9044-X
DOI :
10.1109/ICMA.2005.1626689
