Mutual influence of learning and evolution
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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2002
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_13200682_v9_n_p_Dopazo http://hdl.handle.net/20.500.12110/paper_13200682_v9_n_p_Dopazo |
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paper:paper_13200682_v9_n_p_Dopazo2023-06-08T16:10:22Z Mutual influence of learning and evolution 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. 2002 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_13200682_v9_n_p_Dopazo 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 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. |
| 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 |
| publishDate |
2002 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_13200682_v9_n_p_Dopazo http://hdl.handle.net/20.500.12110/paper_13200682_v9_n_p_Dopazo |
| _version_ |
1768544478578081792 |