| 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 |
| Volume | 63 |
| Pagination | 117-34 |
| Keywords | Algorithms Alleles Animals *Evolution Genotype Humans *Learning *Neural Networks (Computer) Numerical Analysis; Computer-Assisted Phenotype Synapses/genetics |
| Abstract | 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. |
| Notes | 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. |
| URL | http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11146879 |
