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Conference Paper: Computational exploration on language emergence and cultural dissemination

TitleComputational exploration on language emergence and cultural dissemination
Authors
Gong, TMinett, JWWang, WSY
Issue Date2005
Citation
The 2005 IEEE Congress on Evolutionary Computation (IEEE-CEC 2005), Edinburgh, Scotland, UK., 2-5 September 2005. In Conference Proceedings, 2005, v. 2, p. 1629-1636 How to Cite?
AbstractEvolutionary computation is used to explore the emergence of language, focusing particularly on the intrinsic relationship between the lexicon and syntax, and the exogenous relationship between language use and cultural development. A multi-agent model traces a coevolution of the lexicon and syntax, and demonstrates that linguistic and some distance constrain on communications can trigger and maintain cultural heterogeneity. This model also traces an optimization process using evolutionary mechanisms based on local information. Certain mechanisms in this model, such as recurrent pattern extraction, strength-based competition and indirect feedback, can be generalized to study robot learning, optimization and other evolutionary phenomena. ©2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/167010
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorGong, Ten_HK
dc.contributor.authorMinett, JWen_HK
dc.contributor.authorWang, WSYen_HK
dc.date.accessioned2012-09-28T02:27:59Z-
dc.date.available2012-09-28T02:27:59Z-
dc.date.issued2005en_HK
dc.identifier.citationThe 2005 IEEE Congress on Evolutionary Computation (IEEE-CEC 2005), Edinburgh, Scotland, UK., 2-5 September 2005. In Conference Proceedings, 2005, v. 2, p. 1629-1636en_US
dc.identifier.urihttp://hdl.handle.net/10722/167010-
dc.description.abstractEvolutionary computation is used to explore the emergence of language, focusing particularly on the intrinsic relationship between the lexicon and syntax, and the exogenous relationship between language use and cultural development. A multi-agent model traces a coevolution of the lexicon and syntax, and demonstrates that linguistic and some distance constrain on communications can trigger and maintain cultural heterogeneity. This model also traces an optimization process using evolutionary mechanisms based on local information. Certain mechanisms in this model, such as recurrent pattern extraction, strength-based competition and indirect feedback, can be generalized to study robot learning, optimization and other evolutionary phenomena. ©2005 IEEE.en_HK
dc.languageengen_US
dc.relation.ispartofIEEE Congress on Evolutionary Computation, IEEE-CEC 2005en_HK
dc.titleComputational exploration on language emergence and cultural disseminationen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailGong, T: tgong@hku.hken_HK
dc.identifier.authorityGong, T=rp01654en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-27144554013en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-27144554013&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2en_HK
dc.identifier.spage1629en_HK
dc.identifier.epage1636en_HK
dc.identifier.scopusauthoridGong, T=35177507200en_HK
dc.identifier.scopusauthoridMinett, JW=6603216969en_HK
dc.identifier.scopusauthoridWang, WSY=35726254300en_HK
dc.customcontrol.immutablesml 160401 - amend-

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