Explanatory Coherence and Belief Revision in Naive Physics

Abstract

Students of reasoning have long tried to understand how people revise systems of beliefs. We maintain that people often change their beliefs in ways driven by considerations of explanatory coherence. This report describes computational model of how experimental subjects revise their naive beliefs about physical motion. First, instances are presented in which subjects changed their beliefs while learning elementary physics. Each of these cases involved an individual's attempt to explain a surprising observation. Next, we show how their belief revisions can be modeled using ECHO, a connectionist computer program that uses constraint satisfaction techniques to implement a theory of explanatory coherence. The resulting simulations even captured temporal characteristics of the observed changes in beliefs. Finally, the model's representational sensitivity and procedural robustness are discussed and one can show how ECHO can be used to generate empirical predictions about subjects' current beliefs. Keywords: Explanatory coherence; Belief revision; Naive physics; Connectionism.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1988
Accession Number
ADA201093

Entities

People

  • Michael Ranney
  • Paul Thagard

Organizations

  • University of Pittsburgh

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  • Human Systems

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  • Physics

Readers

  • Neural Network Machine Learning.
  • Organizational Psychology.
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.