Bug Distribution and Pattern Classification.

Abstract

A model (called rule space) which permits measuring cognitive skill acquisition, diagnosing cognitive errors, detecting the weaknesses and strengths of knowledge possessed by individuals was introduced earlier. This study further discusses the theoretical foundation of the model by introducing Bug Distribution and hypothesis testing (Bayes' decision rules for minimum errors) for classifying and individual into his/her most plausible latent state of knowledge. The model is illustrated with the domain of fraction arithmetic and compared with the results obtained from a conventional Artificial Intelligence approach. Keywords: Rule space model; Error diagnosis; Bayes' decision rules; Classification; and Latent knowledge.

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Document Details

Document Type
Technical Report
Publication Date
Jul 15, 1985
Accession Number
ADA157898

Entities

People

  • K. K. Tatsuoka
  • M. M. Tatsuoka

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • California
  • Cognition
  • Cognitive Science
  • Computational Science
  • Computer Programs
  • Computers
  • Educational Psychology
  • Geography
  • Military Research
  • Personnel Management
  • Probability
  • Psychology
  • Security
  • Students
  • United States

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Psychological Intervention/Treatment for Stress, Anxiety, PTSD, and Related Emotional and Cognitive Health Symptoms.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Space