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Neuroconstructivism Volume TwoPerspectives and Prospects$
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Denis Mareschal, Sylvain Sirois, Gert Westermann, and Mark H. Johnson

Print publication date: 2007

Print ISBN-13: 9780198529934

Published to Oxford Scholarship Online: March 2012

DOI: 10.1093/acprof:oso/9780198529934.001.0001

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Connectionism in an artificial life perspective: simulating motor, cognitive, and language development

Connectionism in an artificial life perspective: simulating motor, cognitive, and language development

Chapter:
(p.129) Chapter 6 Connectionism in an artificial life perspective: simulating motor, cognitive, and language development
Source:
Neuroconstructivism Volume Two
Author(s):

Matthew Schlesinger

Domenico Parisi

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780198529934.003.0006

This chapter emphasises that adaptation can occur at a developmental timescale — within the lifetime of an individual — but also across individuals (phylogeny). To explore these interactions, it uses a modelling method referred to as ‘genetic algorithms’. This method combines the simulation of learning within the individual using standard neural network technique with an evolutionary selection process in which successive ‘generations’ of networks gradually evolve to change the learning properties of the individuals as a result of longer-term adaptive pressures. An important point is that while this kind of mechanism can be used to model processes occurring across the lifetimes of many individuals, it can also be used to model the slow evolution of neural or cognitive structures within the timescale of an individual developing child.

Keywords:   connectionism, phylogeny, artificial life, CALP, motor development, cognitive development, language development

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