Title :
Learning of a maze using a genetic algorithm
Author :
Su, Suchen ; Tsuchiya, Kiichi
Author_Institution :
Sch. of Sci. & Eng., Waseda Univ., Tokyo, Japan
Abstract :
We attempt to realize the ability of a robot to acquire the intention of a maze using a genetic algorithm and decision making. In this case the intention means the rule peculiar to a maze. We made a robot learn in a maze based on an intention, and made it run in two mazes, one based on the same intention and the other based on a different intention. The results obtained confirm that learning of an intention has been achieved
Keywords :
genetic algorithms; knowledge based systems; learning (artificial intelligence); mobile robots; optimisation; path planning; artificial intelligence; decision making; genetic algorithm; maze learning; path planning; robot; rule based learning; Computational modeling; Computer simulation; Decision making; Genetic algorithms; Mobile robots; Modems; Nonlinear systems; Optimization methods; Organisms; Robot kinematics;
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-7803-0891-3
DOI :
10.1109/IECON.1993.339049
