Full-text

URL: http://archive.ling.ed.ac.uk/documents/d...00000037-01/alife.ps

Cached: PDF-313K    PS-329K    PS.gz-121K

SAVE AS an easy-to-recall long filename:

Filename format: author--year--title   PDF-313K    PS-121K    :: About GZip'd PS

Filename format: author--year--title--journal|proceedings|...--pages   PDF-313K    PS-121K

Related links

Authoritative: http://mitpress.mit.edu/catalog/item/def...8D3&ttype=6&tid=8862   (Publisher's PDF... likely be available here.)

Source: http://archive.ling.ed.ac.uk/documents/d.../00/00/37/index.html

CiteSeer: http://citeseer.ist.psu.edu/kirby02natural.html

Web search: Google Web Search   ::   Google Scholar

Within this site: Cited by (50)    References (109)

Abstract

This paper aims to show that linguistics, in particular the study of the lexico-syntactic aspects of language, provides fertile ground for artificial life modelling. 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.

Keywords: Artificial Life, Language Evolution, Computer Simulation

@article{kirby02naturalLanguage,
  author={Simon Kirby},
  title={Natural Language from Artificial Life},
  journal={Artificial Life},
  year={2002},
  volume={8},
  number={2},
  pages={185--215},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/kirby02naturalLanguage.html},
  keywords={Artificial Life, Language Evolution, Computer Simulation}
}

HOME   ::  Journal List   ::   Article	Comments to: junwang4 you-know-at gmail.com	Last update: 2/2/08