Research article summary (published 30 Dec 2001):

Natural language from artificial life.

Full Abstract

This article aims to show that linguistics, in particular the study of the lexico-syntactic aspects of language, provides fertile ground for artificial life modeling. A survey of the models that have been developed over the last decade and a half is presented to demonstrate that ALife techniques have a lot to offer an explanatory theory of language. It is argued that this is because much of the structure of language is determined by the interaction of three complex adaptive systems:
learning, culture, and biological evolution. Computational simulation, informed by theoretical linguistics, is an appropriate response to the challenge of explaining real linguistic data in terms of the processes that underpin human language.

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Author information

Author/s: Kirby, Simon (S);

Affiliation: Language Evolution and Computation Research Unit, Department of Theoretical and Applied Linguistics, University of Edinburgh, Adam Ferguson Bldg., 40 George Square, Edinburgh EH8 9LL, Scotland. simon(-atsign-)ling.ed.ac.uk

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Review

Journal: Artificial life (Artif Life), published in United States. (Language: eng)

Reference: 2002-; vol 8 (issue 2) : pp 185-215

Dates: Created 2002/08/12; Completed 2002/09/27; Revised 2006/11/15;

PMID: 12171637, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Artificial Intelligence Humans Language

Language Linguistics Models, Biological

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