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ERIC Number: EJ850508
Record Type: Journal
Publication Date: 2004-Apr
Pages: 7
Abstractor: As Provided
Reference Count: 39
ISSN: ISSN-1363-755X
Evolving Agents as a Metaphor for the Developing Child
Schlesinger, Matthew
Developmental Science, v7 n2 p158-164 Apr 2004
The emerging field of Evolutionary Computation (EC), inspired by neo-Darwinian principles (e.g. natural selection, mutation, etc.), offers developmental psychologists a wide array of mathematical tools for simulating ontogenetic processes. In this brief review, I begin by highlighting three of the approaches that EC researchers employ (Artificial Life, evolutionary robotics and comparative stochastic optimization). I then focus on the advantages of using comparative stochastic optimization as a method for studying development. As a concrete example, I illustrate the design and implementation of an EC model that simulates the development of reaching in young infants.
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: Early Childhood Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A