Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Adam Mickiewicz Univ...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

Komputerowe modelowanie ewolucji języka

Authors: Lipowska, Dorota;

Komputerowe modelowanie ewolucji języka

Abstract

The present monograph belongs to the interdisciplinary scientific field of language evolution. It is mainly concerned with the application of computational modelling to study the origin and change of language. Computer simulations of models called language games, implemented as multiagent systems, enable us to examine how a population of individuals can reach a consensus on some linguistic conventions, for example, names. This process, fundamental for the emergence of language, is spontaneous and takes place without any external control or steering. The emergence of language is thus a global consequence of local interactions between individuals. Computational modelling turns out to be research tool extremely well-suited to studying some aspects of language structure and processes, such as diversification of languages and their extinction. It might even shed some light on the intricate influence of our language on the biological evolution of humans. Keywords: language evolution; evolutionary linguistics; computer modelling; language games; naming game; agent models.

Jak powstał język – ten unikalny, charakterystyczny dla człowieka system komunikacji? Badaniem tego zagadnienia zajmuje się stosunkowo nowa, lecz prężnie się rozwijająca nauka: ewolucja języka. Jest to interdyscyplinarna dziedzina, integrująca wiedzę różnych nauk o człowieku, jego biologii, kulturze i języku, korzystająca również z osiągnięć nauk przyrodniczych i ścisłych. Niniejsza monografia przedstawia zastosowanie modelowania komputerowego do badania zagadnienia powstania i rozwoju języka, w szczególności zaś wykorzystanie do tego celu gier językowych oraz systemów wieloagentowych. Przeprowadzając komputerowe symulacje, bada się, w jaki sposób populacja odrębnych osobników nie dysponujących jeszcze wspólnym językiem, wyłącznie w toku wzajemnych interakcji komunikacyjnych, jest w stanie osiągnąć konsensus co do stosowanego w całej populacji zestawu lingwistycznych konwencji, np. nazw. Zalążek języka wyłania się więc tu jako konsekwencja oddziaływań między osobnikami. Modelowanie komputerowe jest znakomitym narzędziem do badań tego rodzaju zjawisk.

Keywords

modele agentowe, lingwistyka ewolucyjna, gra w nazywanie, modelowanie komputerowe, ewolucja języka, gry językowe

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 4
    download downloads 22
  • 4
    views
    22
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
4
22
Green