Computational exploration on language emergence and cultural dissemination

Tao Gong; James W. Minett; William Shi Yuan Wang

Computational exploration on language emergence and cultural dissemination

Tao Gong, James W. Minett, William Shi Yuan Wang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

Evolutionary 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.

Original language	English
Title of host publication	2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
Pages	1629-1636
Number of pages	8
Volume	2
Publication status	Published - 31 Oct 2005
Externally published	Yes
Event	2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005 - Edinburgh, Scotland, United Kingdom Duration: 2 Sept 2005 → 5 Sept 2005

Conference

Conference	2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005
Country/Territory	United Kingdom
City	Edinburgh, Scotland
Period	2/09/05 → 5/09/05

ASJC Scopus subject areas

General Engineering

Cite this

@inproceedings{f4773e6d41f84d6a8f507cdf8ef865db,

title = "Computational exploration on language emergence and cultural dissemination",

abstract = "Evolutionary 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.",

author = "Tao Gong and Minett, {James W.} and Wang, {William Shi Yuan}",

year = "2005",

month = oct,

day = "31",

language = "English",

isbn = "0780393635",

volume = "2",

pages = "1629--1636",

booktitle = "2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings",

note = "2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005 ; Conference date: 02-09-2005 Through 05-09-2005",

}

Computational exploration on language emergence and cultural dissemination. / Gong, Tao; Minett, James W.; Wang, William Shi Yuan.
2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings. Vol. 2 2005. p. 1629-1636.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Computational exploration on language emergence and cultural dissemination

AU - Gong, Tao

AU - Minett, James W.

AU - Wang, William Shi Yuan

PY - 2005/10/31

Y1 - 2005/10/31

N2 - Evolutionary 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.

AB - Evolutionary 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.

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M3 - Conference article published in proceeding or book

SN - 0780393635

VL - 2

SP - 1629

EP - 1636

BT - 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings

T2 - 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005

Y2 - 2 September 2005 through 5 September 2005

ER -

Computational exploration on language emergence and cultural dissemination

Abstract

Conference

ASJC Scopus subject areas

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