A Unified Model of Attention and Problem Solving.

Abstract

The concept of production-executing machines has been used to construct a number of simulations of human problem solving. With a few exceptions the simulations have been of problem solving in situations in which there is no real-time pressure to respond. Such situations are typical of the paradigms used to study attention and performance. A model of production selection and execution has been developed that subsumes the previous problem solving models and that can be applied to real-time situations. The model has been used to simulate human performance in choice reaction time, stimulus repetition, dual task, and cue-conflict (Stroop) situations. This extends the use of production system models to encompass both problem solving and attention limited behavior. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1984
Accession Number
ADA138787

Entities

People

  • E. Hunt
  • M. Lansman

Organizations

  • University of Washington

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Automata
  • Automatic
  • Computational Science
  • Computations
  • Computers
  • Detection
  • Identification
  • Information Processing
  • Pattern Recognition
  • Psychology
  • Reaction Time
  • Recognition
  • Simulations
  • Standards
  • Time Studies
  • Word Recognition

Readers

  • Artificial Intelligence
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience