Modeling Random Walk Processes In Human Concept Learning

Abstract

This report results from a contract tasking University College London as follows: The primary objective was to investigate the scope and implications of random-walk-like processes in human concept learning, and the construction of cognitive models of concept learning valid at the level of individual subjects. The project distinguished two levels of cognition deployed in the task: passive (automatic) learning of stimuli and their classification, as against deliberative processes such as hypothesis testing. Although the focus of research was intended to be on deliberative processing, realistic baseline assumptions about passive processing needed to be tested which proved to be unexpectedly difficult. Eventually, the source of random walk effects were found, in the time subjects take to learn to distinguish between confusingly similar stimuli. It is predicted that allowing a longer interval between trials will allow subjects more time to carry our deliberative processes, leading to better task performance.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2006
Accession Number
ADA462700

Entities

People

  • Richard M. Young

Organizations

  • University College London

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Automatic
  • Biological Sciences
  • Classification
  • Coding
  • Cognition
  • Cognitive Science
  • Data Analysis
  • Learning
  • Lisp Programming Language
  • Mathematical Analysis
  • Probability
  • Psychology
  • Random Walk
  • Task Performance And Analysis
  • Training
  • Universities

Fields of Study

  • Psychology

Readers

  • Mathematical Modeling and Probability Theory.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.