Literaturnachweis - Detailanzeige
| Autor/in | Schlesinger, Matthew |
|---|---|
| Titel | Evolving Agents as a Metaphor for the Developing Child |
| Quelle | In: Developmental Science, 7 (2004) 2, S.158-164 (7 Seiten)
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1363-755X |
| DOI | 10.1111/j.1467-7687.2004.00333.x |
| Schlagwörter | Developmental Psychology; Child Development; Artificial Intelligence; Computation; Figurative Language; Infants |
| Abstract | 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. (As Provided). |
| Anmerkungen | Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA/ |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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