Note to users. If you're seeing this message, it means that your browser cannot find this page's style/presentation instructions -- or possibly that you are using a browser that does not support current Web standards. Find out more about why this message is appearing, and what you can do to make your experience of our site the best it can be.

Site Tools

  • AAAS
  • Subscribe
  • Feedback

Site Search

Search Advanced

Science 5 January 2001:
Vol. 291. no. 5501, pp. 114 - 118
DOI: 10.1126/science.291.5501.114

Reports

Evolution of Universal Grammar

Martin A. Nowak,1* Natalia L. Komarova,12 Partha Niyogi3

Universal grammar specifies the mechanism of language acquisition. It determines the range of grammatical hypothesis that children entertain during language learning and the procedure they use for evaluating input sentences. How universal grammar arose is a major challenge for evolutionary biology. We present a mathematical framework for the evolutionary dynamics of grammar learning. The central result is a coherence threshold, which specifies the condition for a universal grammar to induce coherent communication within a population. We study selection of grammars within the same universal grammar and competition between different universal grammars. We calculate the condition under which natural selection favors the emergence of rule-based, generative grammars that underlie complex language.

1 Institute for Advanced Study, Einstein Drive, Princeton, NJ 08540, USA.
2 Department of Mathematics, University of Leeds, Leeds LS2 9JT, UK.
3 Department of Computer Science, University of Chicago, Chicago, IL 60637, USA.
*   To whom correspondence should be addressed. E-mail: nowak{at}ias.edu


Read the Full Text


THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES:
The proper treatment of language acquisition and change in a population setting.
P. Niyogi and R. C. Berwick (2009)
PNAS 106, 10124-10129
   Abstract »    Full Text »    PDF »
Restrictions on biological adaptation in language evolution.
N. Chater, F. Reali, and M. H. Christiansen (2009)
PNAS 106, 1015-1020
   Abstract »    Full Text »    PDF »
Theoretical and empirical evidence for the impact of inductive biases on cultural evolution.
T. L Griffiths, M. L Kalish, and S. Lewandowsky (2008)
Phil Trans R Soc B 363, 3503-3514
   Abstract »    Full Text »    PDF »
Cultural evolution: implications for understanding the human language faculty and its evolution.
K. Smith and S. Kirby (2008)
Phil Trans R Soc B 363, 3591-3603
   Abstract »    Full Text »    PDF »
The emergence of simple languages in an experimental coordination game.
R. Selten and M. Warglien (2007)
PNAS 104, 7361-7366
   Abstract »    Full Text »    PDF »
Innateness and culture in the evolution of language.
S. Kirby, M. Dowman, and T. L. Griffiths (2007)
PNAS 104, 5241-5245
   Abstract »    Full Text »    PDF »
Language Origin from an Emergentist Perspective.
J. Ke and J. H. Holland (2006)
Applied Linguistics 27, 691-716
   Abstract »    Full Text »    PDF »
Unsupervised learning of natural languages.
Z. Solan, D. Horn, E. Ruppin, and S. Edelman (2005)
PNAS 102, 11629-11634
   Abstract »    Full Text »    PDF »
From the Cover: Win-stay, lose-shift in language learning from peers.
F. A. Matsen and M. A. Nowak (2004)
PNAS 101, 18053-18057
   Abstract »    Full Text »    PDF »
The Faculty of Language: What Is It, Who Has It, and How Did It Evolve?.
M. D. Hauser, N. Chomsky, and W. T. Fitch (2002)
Science 298, 1569-1579
   Abstract »    Full Text »    PDF »
Cost and conflict in animal signals and human language.
M. Lachmann, S. Szamado, and C. T. Bergstrom (2001)
PNAS
   Abstract »    Full Text »    PDF »
Self-organization of a propulsive actin network as an evolutionary process.
I. V. Maly and G. G. Borisy (2001)
PNAS 98, 11324-11329
   Abstract »    Full Text »    PDF »
Cost and conflict in animal signals and human language.
M. Lachmann, S. Szamado, and C. T. Bergstrom (2001)
PNAS 98, 13189-13194
   Abstract »    Full Text »    PDF »



To Advertise     Find Products


Science. ISSN 0036-8075 (print), 1095-9203 (online)