Parameters of Human Pattern Perception.

Abstract

Methodological accomplishments included: The development of a computer program capable of generating comparable Markov and position dependent stimuli from the same prototypes; and the development of a hierarchical computer system which produces insect-like configurations from familiar components for research on storage-aided pattern recognition. Multivariate and traditional experimental approaches were used to explore the effect of statistical properties of pattern components on feature selection. Additional empirical advancements were made in further specifying the effect of knowledge of results on schematic concept formation and in testing a methodology for assessing encoding and storage characteristics of nameable, spatial pattern components. Methodological and empirical results were further extended to the area of individual differences. A multivariate model of feature utilization was specified in greater 9detail. This class of models was also further extended to a proposed role in the development of an efficient man-machine system for real-world pattern identification. In addition a model for storage-aided pattern acquisitions is being constructed. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 18, 1971
Accession Number
AD0722794

Entities

People

  • Selby H. Evans

Organizations

  • Texas Christian University

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Application Software
  • Coding
  • Computer Programs
  • Computers
  • Concept Formation
  • Digital Information
  • Feature Selection
  • Human-Machine Systems
  • Identification
  • Laboratory Procedures
  • Models
  • Pattern Recognition
  • Perception
  • Recognition

Readers

  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • AI & ML