Bayesian computation and mechanism: Theoretical pluralism drives scientific emergence

David K. Sewell*, Daniel R. Little, Stephan Lewandowsky

*Corresponding author for this work

Research output: Contribution to journalEditorial (Academic Journal)peer-review

Abstract

The breadth-first search adopted by Bayesian researchers to map out the conceptual space and identify what the framework can do is beneficial for science and reflective of its collaborative and incremental nature. Theoretical pluralism among researchers facilitates refinement of models within various levels of analysis, which ultimately enables effective cross-talk between different levels of analysis.

Original languageEnglish
Pages (from-to)212-+
Number of pages3
JournalBehavioral and Brain Sciences
Volume34
Issue number4
DOIs
Publication statusPublished - Aug 2011

Structured keywords

  • Memory

Keywords

  • INDUCTIVE BIASES
  • EXEMPLAR MODELS
  • ET-AL.
  • KNOWLEDGE
  • CATEGORIZATION
  • COGNITION

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