한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
- /
- Pages.181-184
- /
- 1998
Behavior Analysis of Evolved Neural Network based on Cellular Automata
- Song, Geum-Beom (Computer Science Department, Yonsei University) ;
- Cho, Sung-Bae (Computer Science Department, Yonsei University)
- 발행 : 1998.06.01
초록
CAM-Brain is a model to develop neural networks based in cellular automata by evolution, and finally aims at a model as and artificial brain,. In order to show the feasibility of evolutionary engineering to develop an artificial brain we have attempted to evolve a module of CAM-Brain for the problem to control a mobile robot, In this paper, we present some recent results obtained by analyzing the behaviors of the evolved neural module. Several experiments reveal a couple of problems that should be solved when CAM-Brain evolves to control a mobile robot. so that some modification of the original model is proposed to solve them. The modified CAM-Brain has evolved to behave well in a simulated environment, and a thorough analysis proves the power of evolution.