Literature DB >> 18826669

Language as shaped by the brain.

Morten H Christiansen1, Nick Chater.   

Abstract

It is widely assumed that human learning and the structure of human languages are intimately related. This relationship is frequently suggested to derive from a language-specific biological endowment, which encodes universal, but communicatively arbitrary, principles of language structure (a Universal Grammar or UG). How might such a UG have evolved? We argue that UG could not have arisen either by biological adaptation or non-adaptationist genetic processes, resulting in a logical problem of language evolution. Specifically, as the processes of language change are much more rapid than processes of genetic change, language constitutes a "moving target" both over time and across different human populations, and, hence, cannot provide a stable environment to which language genes could have adapted. We conclude that a biologically determined UG is not evolutionarily viable. Instead, the original motivation for UG--the mesh between learners and languages--arises because language has been shaped to fit the human brain, rather than vice versa. Following Darwin, we view language itself as a complex and interdependent "organism," which evolves under selectional pressures from human learning and processing mechanisms. That is, languages themselves are shaped by severe selectional pressure from each generation of language users and learners. This suggests that apparently arbitrary aspects of linguistic structure may result from general learning and processing biases deriving from the structure of thought processes, perceptuo-motor factors, cognitive limitations, and pragmatics.

Entities:  

Mesh:

Year:  2008        PMID: 18826669     DOI: 10.1017/S0140525X08004998

Source DB:  PubMed          Journal:  Behav Brain Sci        ISSN: 0140-525X            Impact factor:   12.579


  107 in total

1.  Processing multiple non-adjacent dependencies: evidence from sequence learning.

Authors:  Meinou H de Vries; Karl Magnus Petersson; Sebastian Geukes; Pienie Zwitserlood; Morten H Christiansen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-07-19       Impact factor: 6.237

2.  How semantic biases in simple adjacencies affect learning a complex structure with non-adjacencies in AGL: a statistical account.

Authors:  Fenna H Poletiek; Jun Lai
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-07-19       Impact factor: 6.237

Review 3.  The co-evolution of language and emotions.

Authors:  Eva Jablonka; Simona Ginsburg; Daniel Dor
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-08-05       Impact factor: 6.237

4.  A Bayesian phylogenetic approach to estimating the stability of linguistic features and the genetic biasing of tone.

Authors:  Dan Dediu
Journal:  Proc Biol Sci       Date:  2010-09-01       Impact factor: 5.349

Review 5.  The redundancy of recursion and infinity for natural language.

Authors:  Erkki Luuk; Hendrik Luuk
Journal:  Cogn Process       Date:  2010-07-23

Review 6.  Diversity, competition, extinction: the ecophysics of language change.

Authors:  Ricard V Solé; Bernat Corominas-Murtra; Jordi Fortuny
Journal:  J R Soc Interface       Date:  2010-06-30       Impact factor: 4.118

7.  Natural selection 150 years on.

Authors:  Mark Pagel
Journal:  Nature       Date:  2009-02-12       Impact factor: 49.962

8.  Restrictions on biological adaptation in language evolution.

Authors:  Nick Chater; Florencia Reali; Morten H Christiansen
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-21       Impact factor: 11.205

9.  Pigeons acquire multiple categories in parallel via associative learning: a parallel to human word learning?

Authors:  Edward A Wasserman; Daniel I Brooks; Bob McMurray
Journal:  Cognition       Date:  2014-12-08

10.  Cumulative cultural evolution in the laboratory: an experimental approach to the origins of structure in human language.

Authors:  Simon Kirby; Hannah Cornish; Kenny Smith
Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-30       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.