MULTIVARIATE ANALYSIS OF SIMULATED PROTOCOLS FOR A MULTI-ELEMENT PATTERN MODEL OF PROBABILITY LEARNING.

Abstract

To investigate the properties of a mathematical model for probability learning, response protocols were simulated to fit the model's specifications, and then they were analyzed by the generalized learning curves technique. The results indicated that the generalized learning curves technique could discriminate among groups on a wide variety of bases. It was also found that the use of different event protocols for each subject is undesirable when trying to identify functional relations in the data. A procedure is proposed for the use of generalized learning curves technique in the development and refinement of mathematical models of learning.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1969
Accession Number
AD0682989

Entities

People

  • Lee Gordon Cooper

Organizations

  • University of Illinois Urbana–Champaign

Tags

DTIC Thesaurus Topics

  • Data Science
  • Information Science
  • Learning
  • Mathematical Models
  • Mathematics
  • Models
  • Multivariate Analysis
  • Probabilistic Models
  • Probability
  • Specifications

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Clinical Trial Research.
  • Regression Analysis.