Evolutionary learning of complex modes of information processing
on Advances in Cognitive Science
Darwinian evolution as a paradigm for AI research
ACM SIGART Bulletin
Time constrained planning using simulated annealing
IEA/AIE '88 Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2
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Biological systems routinely solve problems involving pattern recognition and feature extraction. Such problems do not appear to admit similarly routine algorithmic solutions; the power of biological systems in this regard apparently arises from nonalgorithmic dynamics. It is our intention to explore, and to develop principles of, functional characteristics of natural (biological) intelligence with a view to their realization through an appropriate automation model.