01507nas a2200181   4500008004100000245005800041210005600099300001100155490000700166520081000173653011500983653005001098100001501148700001901163700001601182700002101198856010601219       2001                        eng d00aA model for the interaction of learning and evolution0 amodel for the interaction of learning and evolution  a117-340 v633 aWe 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.10aAlgorithms Alleles Animals *Evolution Genotype Humans *Learning *Neural Networks (Computer) Numerical Analysis10aComputer-Assisted Phenotype Synapses/genetics1 aDopazo, H.1 aGordon, M., B.1 aPerazzo, R.1 aRisau-Gusman, S.  uhttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11146879