Inductive Biases Constrain Cumulative Cultural Evolution

Bill Thompson, Thomas L. Griffiths

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Cumulative cultural evolution is a distinctively human form of information-processing that endows our societies with improbable and efficient technologies. But how objective is this process? A widely held conjecture is that human cognitive biases can constrain cumulative cultural evolution, and therefore shape our discoveries. We present a Bayesian analysis of a simple form of cumulative cultural evolution. This model allows us to formulate and test the theoretical conjecture in an experimental setting. Across a series of behavioural experiments, we show that people's inductive biases constrain a population's ability to discover counter-intuitive virtual technologies in a simple search problem. Our analysis highlights formal relationships between cumulative cultural evolution, Bayesian inference, and stochastic optimization.

Original languageEnglish (US)
Title of host publicationProceedings of the 41st Annual Meeting of the Cognitive Science Society
Subtitle of host publicationCreativity + Cognition + Computation, CogSci 2019
PublisherThe Cognitive Science Society
Pages1111-1117
Number of pages7
ISBN (Electronic)0991196775, 9780991196777
StatePublished - 2019
Event41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019 - Montreal, Canada
Duration: Jul 24 2019Jul 27 2019

Publication series

NameProceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019

Conference

Conference41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019
Country/TerritoryCanada
CityMontreal
Period7/24/197/27/19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

Keywords

  • Bayes
  • computation
  • cultural evolution
  • cumulative cultural evolution
  • inductive biases
  • optimization

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