Evolving CAM-Brain to control a mobile robot

Sung Bae Cho; Geum Beom Song

doi:10.1016/S0096-3003(99)00160-5

Evolving CAM-Brain to control a mobile robot

Sung Bae Cho, Geum Beom Song

College of Computing

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	147-162
Number of pages	16
Journal	Applied Mathematics and Computation
Volume	111
Issue number	2
DOIs	https://doi.org/10.1016/S0096-3003(99)00160-5
Publication status	Published - 2000 May 15

All Science Journal Classification (ASJC) codes

Computational Mathematics
Applied Mathematics

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10.1016/S0096-3003(99)00160-5

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Evolving CAM-Brain to control a mobile robot

Abstract

All Science Journal Classification (ASJC) codes

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