Simulation of Real Time Problem Solving.

Abstract

Hybrid computer simulations of problem solving can be constructed by combining the production system architecture with a semantic activation process for selecting productions. This technique has been used to construct simulations of problem solving done under time pressure, and in the presence of interruptions. The power of the simulations is limited by the pattern recognition capacity of the semantic networks. This has been analyzed and some mathematical limits obtained. Whether these (or analogous) limits apply to connectionist networks is to base pattern recognition on case-based memory models, which store specific experiences rather than statistical associations between features of experiences. A study is presented showing that case based models may be an alternative to semantic networks. Keywords: Psychology, Connectionism, Problem solving, Information processing.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 30, 1987
Accession Number
ADA193436

Entities

People

  • Earl Hunt

Organizations

  • University of Washington

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Cognitive Science
  • Computer Simulations
  • Computers
  • Hybrid Computers
  • Information Processing
  • Military Research
  • Pattern Recognition
  • Plastic Explosives
  • Production
  • Psychology
  • Recognition
  • Simulations

Readers

  • Artificial Intelligence
  • Computational Fluid Dynamics (CFD)

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Information Retrieval
  • AI & ML - Machine Learning Algorithms