Mutual influence of learning and evolution

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We review several models that deal with the interaction of the genetic and behavioral systems throughout evolution. We present the conjecture of Baldwin and the subsequent developments of his ideas and those developed by Schmalhausen. We discuss the experiments of genetic assimilation of Waddington...

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Detalles Bibliográficos
Autores principales: Dopazo, H.J., Perazzo, R.P.J.
Formato: JOUR
Materias:
Biochemistry
Biosensors
Escherichia coli
Genetic engineering
Learning systems
Mathematical models
Toxic materials
Adaptive perceptrons
Baldwin effect
Genetic informations
Learning processes
Behavioral research
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_13200682_v9_n_p_Dopazo
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_13200682_v9_n_p_Dopazo
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spelling todo:paper_13200682_v9_n_p_Dopazo2023-10-03T16:09:24Z Mutual influence of learning and evolution Dopazo, H.J. Perazzo, R.P.J. Biochemistry Biosensors Escherichia coli Genetic engineering Learning systems Mathematical models Toxic materials Adaptive perceptrons Baldwin effect Genetic informations Learning processes Behavioral research Escherichia coli We review several models that deal with the interaction of the genetic and behavioral systems throughout evolution. We present the conjecture of Baldwin and the subsequent developments of his ideas and those developed by Schmalhausen. We discuss the experiments of genetic assimilation of Waddington and the modern viewpoint based in the increasingly important role of the modification that the individuals do of the environment in which they dwell. Finally we consider the theoretical model of Hinton & Nowlan and an extension that involves a population of adaptive perceptrons in which some of their synapses can be updated through a learning process. This new approach leads to a halting of the Baldwin Effect due to efficient learning. This causes that the transcription of environmental data into genetic information remains hindered by learning, instead of stimulated as it is usually understood. From the perspective of the general description of complex systems, the interaction of learning and evolution can be considered as the mutual influence between two different hierarchical levels of selection taking place in two widely different timescales. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_13200682_v9_n_p_Dopazo
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Biochemistry
Biosensors
Escherichia coli
Genetic engineering
Learning systems
Mathematical models
Toxic materials
Adaptive perceptrons
Baldwin effect
Genetic informations
Learning processes
Behavioral research
Escherichia coli
spellingShingle Biochemistry
Biosensors
Escherichia coli
Genetic engineering
Learning systems
Mathematical models
Toxic materials
Adaptive perceptrons
Baldwin effect
Genetic informations
Learning processes
Behavioral research
Escherichia coli
Dopazo, H.J.
Perazzo, R.P.J.
Mutual influence of learning and evolution
topic_facet Biochemistry
Biosensors
Escherichia coli
Genetic engineering
Learning systems
Mathematical models
Toxic materials
Adaptive perceptrons
Baldwin effect
Genetic informations
Learning processes
Behavioral research
Escherichia coli
description We review several models that deal with the interaction of the genetic and behavioral systems throughout evolution. We present the conjecture of Baldwin and the subsequent developments of his ideas and those developed by Schmalhausen. We discuss the experiments of genetic assimilation of Waddington and the modern viewpoint based in the increasingly important role of the modification that the individuals do of the environment in which they dwell. Finally we consider the theoretical model of Hinton & Nowlan and an extension that involves a population of adaptive perceptrons in which some of their synapses can be updated through a learning process. This new approach leads to a halting of the Baldwin Effect due to efficient learning. This causes that the transcription of environmental data into genetic information remains hindered by learning, instead of stimulated as it is usually understood. From the perspective of the general description of complex systems, the interaction of learning and evolution can be considered as the mutual influence between two different hierarchical levels of selection taking place in two widely different timescales.
format JOUR
author Dopazo, H.J.
Perazzo, R.P.J.
author_facet Dopazo, H.J.
Perazzo, R.P.J.
author_sort Dopazo, H.J.
title Mutual influence of learning and evolution
title_short Mutual influence of learning and evolution
title_full Mutual influence of learning and evolution
title_fullStr Mutual influence of learning and evolution
title_full_unstemmed Mutual influence of learning and evolution
title_sort mutual influence of learning and evolution
url http://hdl.handle.net/20.500.12110/paper_13200682_v9_n_p_Dopazo
work_keys_str_mv AT dopazohj mutualinfluenceoflearningandevolution
AT perazzorpj mutualinfluenceoflearningandevolution
_version_ 1807323483310391296

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