A Mathematical Model of Prediction-Driven Instability: How Social Structure Can Drive Language Change [Book Review]
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Journal of Logic, Language and Information 20 (3):385-396 (2011)
I discuss a stochastic model of language learning and change. During a syntactic change, each speaker makes use of constructions from two different idealized grammars at variable rates. The model incorporates regularization in that speakers have a slight preference for using the dominant idealized grammar. It also includes incrementation: The population is divided into two interacting generations. Children can detect correlations between age and speech. They then predict where the population’s language is moving and speak according to that prediction, which represents a social force encouraging children not to sound out-dated. Both regularization and incrementation turn out to be necessary for spontaneous language change to occur on a reasonable time scale and run to completion monotonically. Chance correlation between age and speech may be amplified by these social forces, eventually leading to a syntactic change through prediction-driven instability
|Keywords||Language variation Language change Incrementation Mathematical model Social structure Prediction-driven instability|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
David Adger (2003). Core Syntax: A Minimalist Approach. Oxford University Press.
Partha Niyogi & Robert C. Berwick (1996). A Language Learning Model for Finite Parameter Spaces. Cognition 61 (1-2):161-193.
Citations of this work BETA
No citations found.
Similar books and articles
Desh Raj Sirswal (2011). Philosophy of Social Change: Need of an Indian Model. In The Positive Philosophy.
Franz Dietrich & Christian List (2011). A Model of Non-Informational Preference Change. Journal of Theoretical Politics 23 (2):145-164.
Partha Niyogi & Robert C. Berwick (1997). Evolutionary Consequences of Language Learning. Linguistics and Philosophy 20 (6):697-719.
Dirk Geeraerts (1997). Diachronic Prototype Semantics: A Contribution to Historical Lexicology. Oxford University Press.
Guy Dove (2012). Grammar as a Developmental Phenomenon. Biology and Philosophy 27 (5):615-637.
Greg Littmann (2012). Moments of Change. Acta Analytica 27 (1):29-44.
Darren Bradley (2013). Dynamic Beliefs and the Passage of Time. In A. Capone & N. Feit (eds.), Attitudes De Se. University of Chicago.
Linda Markowitz, Céline Louche & Jean-Pascal Gond (2008). How Social Movements Generate New, Profit-Driven Organizational Forms. Proceedings of the International Association for Business and Society 19:246-255.
Steven Walczak (2002). A Context-Based Computational Model of Language Acquisition by Infants and Children. Foundations of Science 7 (4):393-411.
Noah D. Goodman & Andreas Stuhlmüller (2013). Knowledge and Implicature: Modeling Language Understanding as Social Cognition. Topics in Cognitive Science 5 (1):173-184.
Henry Jackman (1999). Moderate Holism and the Instability Thesis. American Philosophical Quarterly 36 (4):361-69.
Jeffry L. Ramsey (2007). Calibrating and Constructing Models of Protein Folding. Synthese 155 (3):307 - 320.
Ryan Wasserman (2006). The Problem of Change. Philosophy Compass 1 (1):48–57.
Added to index2011-07-16
Total downloads9 ( #223,023 of 1,696,586 )
Recent downloads (6 months)6 ( #94,197 of 1,696,586 )
How can I increase my downloads?