Representation and Process in Transitive Inference.

Abstract

This article compares three theories of transitive inference applied to the solution of linear syllogisms: a spatial theory, a linguistic theory, and a new mixed linguistic-spatial theory. Each theory is expressed in terms of an information-processing (flow-chart) model, and a mathematical model that quantifies the information-processing model. The mathematical models are tested in their ability to account for latency data from four experiments. The tests overwhelmingly support the mixed theory. This support holds over varied modes of problem presentation, adjectives, sessions, and subjects. The duration of each component process in the mixed theory of estimated, and its contribution to total solution time assessed. Then the mixed theory is shown to account for most patterns of individual-difference data. Finally, the theory is shown to be consistent with a variety of data obtained in previous investigations of transitive inference. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 30, 1978
Accession Number
ADA062586

Entities

People

  • Robert Sternberg

Organizations

  • Yale University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Cognition
  • Data Science
  • Data Sets
  • Education
  • Educational Psychology
  • Human Factors Engineering
  • Information Processing
  • Information Science
  • Language
  • Mathematical Models
  • Military Research
  • Navy
  • New York
  • Psychology
  • Reasoning
  • Social Sciences
  • Students

Fields of Study

  • Mathematics

Readers

  • Artificial Intelligence
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference