Bill Thompson
University of Edinburgh
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Featured researches published by Bill Thompson.
Proceedings of the National Academy of Sciences of the United States of America | 2016
Bill Thompson; Simon Kirby; K. L. Smith
Significance A central debate in cognitive science concerns the nativist hypothesis: the proposal that universal human behaviors are underpinned by strong, domain-specific, innate constraints on cognition. We use a general model of the processes that shape human behavior—learning, culture, and biological evolution—to test the evolutionary plausibility of this hypothesis. A series of analyses shows that culture radically alters the relationship between natural selection and cognition. Culture facilitates rapid biological adaptation yet rules out nativism: Behavioral universals arise that are underpinned by weak biases rather than strong innate constraints. We therefore expect culture to have dramatically shaped the evolution of the human mind, giving us innate predispositions that only weakly constrain our behavior. A central debate in cognitive science concerns the nativist hypothesis, the proposal that universal features of behavior reflect a biologically determined cognitive substrate: For example, linguistic nativism proposes a domain-specific faculty of language that strongly constrains which languages can be learned. An evolutionary stance appears to provide support for linguistic nativism, because coordinated constraints on variation may facilitate communication and therefore be adaptive. However, language, like many other human behaviors, is underpinned by social learning and cultural transmission alongside biological evolution. We set out two models of these interactions, which show how culture can facilitate rapid biological adaptation yet rule out strong nativization. The amplifying effects of culture can allow weak cognitive biases to have significant population-level consequences, radically increasing the evolvability of weak, defeasible inductive biases; however, the emergence of a strong cultural universal does not imply, nor lead to, nor require, strong innate constraints. From this we must conclude, on evolutionary grounds, that the strong nativist hypothesis for language is false. More generally, because such reciprocal interactions between cultural and biological evolution are not limited to language, nativist explanations for many behaviors should be reconsidered: Evolutionary reasoning shows how we can have cognitively driven behavioral universals and yet extreme plasticity at the level of the individual—if, and only if, we account for the human capacity to transmit knowledge culturally. Wherever culture is involved, weak cognitive biases rather than strong innate constraints should be the default assumption.
International Encyclopedia of the Social & Behavioral Sciences (Second Edition) | 2015
Bill Thompson; Kenny Smith
Language exhibits a variety of structural properties that require evolutionary explanation. Many of these properties may result from processes of cultural evolution in populations of language learners. We review several key examples of how cultural transmission can lead to the emergence of linguistic structure, and outline the implications for evolutionary accounts of the origins of language.
Proceedings of the National Academy of Sciences of the United States of America | 2004
Christina S. Barr; Timothy K. Newman; Melanie L. Schwandt; Courtney Shannon; Rachel L. Dvoskin; Stephen G. Lindell; Julie Taubman; Bill Thompson; Maribeth Champoux; Klaus-Peter Lesch; David Goldman; Stephen J. Suomi; J. Dee Higley
Cognitive Science | 2013
Vanessa Ferdinand; Bill Thompson; Simon Kirby; Kenny Smith
Proceedings of the 9th International Conference (EVOLANG9) | 2012
Bill Thompson; Kenny Smith; Simon Kirby
Proceedings of the 9th International Conference (EVOLANG9) | 2012
Kenny Smith; Bill Thompson
World Scientific Press | 2014
Bill Thompson; Catriona Silvey; Simon Kirby; Kenny Smith
Cognitive Science | 2017
Bill Thompson
EVOLANG 10 | 2014
Bill Thompson; Vanessa Ferdinand
the 19th Annual Conference on Architectures and Mechanisms for Language Processing (AMLaP 2013) | 2013
Bill Thompson; Sean G. Roberts; Kenny Smith