Title :
The use of genetic algorithms for the development of sensorimotor control systems
Author :
Husbands, Philip ; Harvey, Inman ; Cliff, Dave ; Miller, Geoffrey
Author_Institution :
Sch. of Cognitive & Comput. Sci., Sussex Univ., Brighton, UK
Abstract :
Provides a high-level review of current and recent work in the use of genetic algorithm-based techniques to develop sensorimotor control systems for autonomous agents. It focuses on network-based controllers and genetic encoding issues associated with them. The paper closes with a discussion of the possibility of using artificial evolutionary techniques to help tackle more specifically scientific questions about natural sensorimotor systems.
Keywords :
biocontrol; encoding; genetic algorithms; intelligent control; neurocontrollers; software agents; artificial evolutionary techniques; autonomous agents; genetic algorithms; genetic encoding issues; natural sensorimotor systems; network-based controllers; scientific questions; sensorimotor control systems development; Animals; Artificial neural networks; Autonomous agents; Biological neural networks; Control systems; Displays; Encoding; Genetic algorithms; Robot kinematics; Robot sensing systems;
Conference_Titel :
From Perception to Action Conference, 1994., Proceedings
Print_ISBN :
0-8186-6482-7
DOI :
10.1109/FPA.1994.636088
