TY - JOUR
T1 - Evolving CAM-Brain to control a mobile robot
AU - Cho, Sung Bae
AU - Song, Geum Beom
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2000/5/15
Y1 - 2000/5/15
N2 - CAM-Brain is the model to create neural networks based on cellular automata, and finally aims at developing an artificial brain. In particular, this model can rapidly evolve the neural networks composed of several thousand modules with special purpose computers such as CAM-8 at MIT and CBM at ATR. This paper attempts to evolve a module of CAM-Brain for the problem to control a mobile robot, especially Khepera, which might show the feasibility of evolutionary engineering to develop an artificial brain. The original model has been modified to solve a couple of problems which are caused by evolving CAM-Brain to control a mobile robot. Some preliminary experiments show the potential of CAM-Brain at the problem of control.
AB - CAM-Brain is the model to create neural networks based on cellular automata, and finally aims at developing an artificial brain. In particular, this model can rapidly evolve the neural networks composed of several thousand modules with special purpose computers such as CAM-8 at MIT and CBM at ATR. This paper attempts to evolve a module of CAM-Brain for the problem to control a mobile robot, especially Khepera, which might show the feasibility of evolutionary engineering to develop an artificial brain. The original model has been modified to solve a couple of problems which are caused by evolving CAM-Brain to control a mobile robot. Some preliminary experiments show the potential of CAM-Brain at the problem of control.
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U2 - 10.1016/S0096-3003(99)00160-5
DO - 10.1016/S0096-3003(99)00160-5
M3 - Article
AN - SCOPUS:0033876998
VL - 111
SP - 147
EP - 162
JO - Applied Mathematics and Computation
JF - Applied Mathematics and Computation
SN - 0096-3003
IS - 2
ER -