|Title||A model for the interaction of learning and evolution|
|Publication Type||Journal Article|
|Year of Publication||2001|
|Authors||Dopazo, H, Gordon, MB, Perazzo, R, Risau-Gusman, S|
|Journal||Bull Math Biol|
|Keywords||Algorithms Alleles Animals *Evolution Genotype Humans *Learning *Neural Networks (Computer) Numerical Analysis; Computer-Assisted Phenotype Synapses/genetics|
We present a simple model in order to discuss the interaction of the genetic and behavioral systems throughout evolution. This considers a set of adaptive perceptrons in which some of their synapses can be updated through a learning process. This framework provides an extension of the well-known Hinton and Nowlan model by blending together some learning capability and other (rigid) genetic effects that contribute to the fitness. We find a halting effect in the evolutionary dynamics, in which the transcription of environmental data into genetic information is hindered by learning, instead of stimulated as is usually understood by the so-called Baldwin effect. The present results are discussed and compared with those reported in the literature. An interpretation is provided of the halting effect.
Dopazo, H Gordon, M B Perazzo, R Risau-Gusman, S Comparative Study Research Support, Non-U.S. Gov’t United States Bulletin of mathematical biology Bull Math Biol. 2001 Jan;63(1):117-34.