The Evolution of Connectionist Networks

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Learning and evolution are two fundamental processes of adaptation. Various models have been proposed to explain their behaviour. Rather than discussing these models in detail, this paper concentrates on the interaction between learning and evolution as well as the interaction between different levels of evolution. We will argue that the evolution of learning rules and its interaction with other evolutionary developments (in either artificial or biological systems) plays a key role in accounting for the creativity of those systems. We will concentrate on two models of learning and evolution: connectionistlearning (artificial neural networks, or ANNs) and genetic algorithms (GAs).
Original languageEnglish
Title of host publicationArtificial Intelligence and Creativity: An Interdisciplinary Approach
EditorsTerry DARTNALL
PublisherSpringer Dordrecht
Number of pages11
ISBN (Electronic)9789401707930
ISBN (Print)9789048144570
Publication statusPublished - 1994
Externally publishedYes

Publication series

NameStudies in Cognitive Systems
PublisherSpringer Dordrecht
ISSN (Print)0924-0780


  • Genetic Algorithm
  • Learning Rule
  • Connection Weight
  • Binary String
  • Crossover Operation


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