A Bayesian model of knowledge and metacognitive control: Applications to opt-in tasks

Stephen T. Bennett, Aaron S. Benjamin, Mark Steyvers

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

Abstract

In many ecologically situated cognitive tasks, participants engage in self-selection of the particular stimuli they choose to evaluate or test themselves on. This contrasts with a traditional experimental approach in which an experimenter has complete control over the participant's experience. Considering these two situations jointly provides an opportunity to understand why participants opt in to some stimuli or tasks but not to others. We present here a Bayesian model of cognitive and metacognitive processes that uses latent contextual knowledge to model how learners use knowledge to make opt-in decisions. We leverage the model to describe how performance on self-selected stimuli relates to performance on true experimental tasks that deny learners the opportunity for self-selection. We illustrate the utility of the approach with an application to a general-knowledge answering task.

Original languageEnglish (US)
Title of host publicationCogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society
Subtitle of host publicationComputational Foundations of Cognition
PublisherThe Cognitive Science Society
Pages1623-1628
Number of pages6
ISBN (Electronic)9780991196760
StatePublished - 2017
Event39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, CogSci 2017 - London, United Kingdom
Duration: Jul 26 2017Jul 29 2017

Publication series

NameCogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition

Conference

Conference39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, CogSci 2017
Country/TerritoryUnited Kingdom
CityLondon
Period7/26/177/29/17

Keywords

  • Bayesian cognitive model
  • metacognitive control
  • missing not at random
  • opt-in
  • wisdom of the crowd

ASJC Scopus subject areas

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

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