Harnessing Morphogenesis (1995)
| Venue: | International Conference on Information Processing in Cells and Tissues |
| Citations: | 42 - 1 self |
BibTeX
@INPROCEEDINGS{Jakobi95harnessingmorphogenesis,
author = {Nick Jakobi},
title = {Harnessing Morphogenesis},
booktitle = {International Conference on Information Processing in Cells and Tissues},
year = {1995},
pages = {29--41}
}
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Abstract
This paper explains in detail a biologically inspired encoding scheme for the artificial evolution of neural network robot controllers. Under the scheme, an individual cell divides and moves, in response to protein interactions with an artificial genome, to form a multi-cellular `organism'. After differentiation dendrites grow out of each cell, guided by chemically sensitive growth cones, to form connections between the cells. The resultant network is then interpreted as a recurrent neural network robot controller. Results are given of preliminary experiments to evolve robot controllers for both corridor following and object avoidance tasks. Keywords: Artificial Evolution, Morphogenesis, Evolutionary Robotics. 1 Introduction Many people have noted the difficulties involved in designing control architectures for robots by hand ([10], [1]) and as robots and the behaviours we demand of them become more complicated these difficulties can only increase. Evolutionary robotics is an attempt...
