Competitive Argumentation in Computational Theories of Cognition.

Abstract

Computer science has given psychology a new way of expressing models of cognition that is much more detailed and precise than its predecessors. But unfortunately, the increased detail and precision in stating models has not been accompanied by correspondingly detailed and precise arguments analyzing and supporting them. Consequently, the new, richly detailed models of cognitive science often fail to meet the traditional criteria of scientific theories. This report discusses what kinds of tools are available or can be fashioned that will help cognitive scientists build computational theories of cognition that will meet some widely accepted standards that have so far proved difficult for such theories to meet. The prime tool of this discussion, actually a class of tools, is the competitive argument. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1982
Accession Number
ADA125577

Entities

People

  • James Greeno
  • John Seely Brown
  • Kurt VanLehn

Organizations

  • PARC

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Cognition
  • Cognitive Science
  • Computer Programs
  • Computer Science
  • Computers
  • Educational Technology
  • Grammars
  • Human Behavior
  • Information Processing
  • Language
  • Linguistics
  • Military Research
  • Psychology
  • Social Sciences
  • Students

Readers

  • Artificial Intelligence
  • Systems Analysis and Design
  • Theoretical Analysis.