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Computational Simulation in Evolutionary Linguistics: A Study on Language Emergence
Language and Linguistics Monograph Series B4
Author:Tao Gong
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Size: 15.5 X 23 cm xvi+354 pages English
ISBN:978-986-01-8521-8
GPN:1009801208
Publication Date:2009-06-24
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Introduction
In this monograph, I presents a multi-agent computational model to explore a key question in language emergence, i.e., whether syntactic abilities result from innate, species-specific competences, or they evolve from domain-general abilities through gradual adaptations. The model simulates a process of coevolutionary emergence of two linguistic universals (compositionality, in the form of lexical items; and regularity, in the form of constitute word orders) in human language, i.e., the acquisition and conventionalization of these features coevolve during the transition from a holistic signaling system to a compositional language. It also traces a “bottom-up” process of syntactic development, i.e., agents, by virtue of reiterating local orders between two lexical items, can gradually form global order(s) to regulate multiple lexical items in sentences. These results suggest that compositionality, regularity, and correlated linguistic abilities could have emerged as a result of some domain-general abilities, such as pattern extraction and sequential learning.
 
Apart from individual learning mechanisms, the monograph also explores the effects of cultural transmissions, social and semantic struc­tures on language evolution. First, it simulates some major forms of cul­tural transmissions, and discusses the role of conventionalization during horizontal transmissions in language evolution. Second, it traces the emer­gence and maintenance of language in some stable social structures, and explores the role of popular agents in language evolution, the relationship between mutual understanding and social hierarchy, and the effect of exoteric communications on the convergence of communal languages. Finally, the simulation results of language maintenance given different semantic spaces illustrate that the semantic structure may cause bias in the constituent word order, and help predict the word order bias in human languages. These explorations examine the role of self-organization in language evolution, provide some reconsideration on the bottleneck effect during cultural transmissions, and shed light on the study of the social structure effects on language evolution.
 
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