Causal Reasoning with Mental Models

Abstract

This paper outlines the model-based theory of causal reasoning. It postulates that the core meanings 17 of causal assertions are deterministic and refer to temporally-ordered sets of possibilities: A causes B 18 to occur means that given A, B occurs, whereas A enables B to occur means that given A, it is 19 possible for B to occur. The paper shows how mental models represent such assertions, and how 20 these models underlie deductive, inductive, and abductive reasoning yielding explanations. It reviews 21 evidence both to corroborate the theory and to account for phenomena sometimes taken to be 22 incompatible with it. Finally, it reviews neuroscience evidence indicating that mental models for 23 causal inference are implemented within lateral prefrontal cortex.

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Document Details

Document Type
Technical Report
Publication Date
Aug 08, 2014
Accession Number
ADA619038

Entities

People

  • Aron K. Barbey
  • P. N. Johnson-laird
  • Sangeet S. Khemlani

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Bayesian Networks
  • Biological Sciences
  • Brain
  • Causal Reasoning
  • Cognition
  • Cognitive Science
  • Computational Science
  • Computer Programs
  • Machine Learning
  • Neurosciences
  • Probability
  • Psychology
  • Reasoning

Readers

  • Artificial Intelligence
  • Neuroscience
  • Systems Analysis and Design

Technology Areas

  • AI & ML