We present a model for evolution and extinction in large ecosystems. The model incorporates the effects of interactions between species and the influences of abiotic environmental factors. We study the properties of the model by approximate analytic solution and also by numerical simulation, and use
A Model for the Interaction of Learning and Evolution
โ Scribed by H. Dopazo; M.B. Gordon; R. Perazzo; S. Risau-Gusman
- Publisher
- Springer
- Year
- 2001
- Tongue
- English
- Weight
- 549 KB
- Volume
- 63
- Category
- Article
- ISSN
- 1522-9602
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โฆ Synopsis
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.
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