Discovering simple heuristics from mental simulation

Frederick Callaway, Jessica B. Hamrick, Thomas L. Griffiths

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

4 Scopus citations

Abstract

In the history of cognitive science, there have been two competing philosophies regarding how people reason about the world. In one, people rely on rich, generative models to make predictions about a wide range of scenarios; while in the other, people have a large “bag of tricks”, idiosyncratic heuristics that tend to work well in practice. In this paper, we suggest that rather than being in opposition to one another, these two ideas complement each other. We argue that people's capacity for mental simulation may support their ability to learn new cue-based heuristics, and demonstrate this phenomenon in two experiments. However, our results also indicate that participants are far less likely to learn a heuristic when there is no logical or explicitly conveyed relationship between the cue and the relevant outcome. Furthermore, simulation-while a potentially useful tool-is no substitute for real world experience.

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
Pages1703-1708
Number of pages6
ISBN (Electronic)9780991196760
StatePublished - 2017
Externally publishedYes
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

All Science Journal Classification (ASJC) codes

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

Keywords

  • heuristics
  • mental simulation
  • physical reasoning

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