PROBABILITY LEARNING: RESPONSE PROPORTIONS AND VERBAL ESTIMATES,

Abstract

At various points in a two-choice probability learning experiment, Ss were interrupted and asked to estimate the probability of the most frequent of the two stimulus events. The Ss' estimates were compared with the proportion of trials on which other Ss predicted the events. The estimates change as a function of training in a manner consistent with a simple Bayesian revision model. (Author)

Document Details

Document Type
Technical Report
Publication Date
Feb 14, 1970
Accession Number
AD0701363

Entities

People

  • James A. Wise
  • Lee Roy Beach
  • Richard M. Rose
  • William B. Carter
  • Yutaka Sayeki

Organizations

  • University of Washington

Tags

DTIC Thesaurus Topics

  • Education
  • Learning
  • Mathematics
  • Probability
  • Training

Fields of Study

  • Psychology

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computational Modeling and Simulation

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference