Serial Pattern Acquisition: A Production System Approach

Abstract

A production system technique for recognizing regularities in serial patterns is presented in the context of the letter series extrapolation problem. The learning technique consists of creating an ordered set of production rules to represent the concept of a pattern, such that each rule is a hypothesis about which pattern contexts lead to which new pattern elements. The production system learning technique is compared with other series extrapolation methods and examples of series concepts learned by a computer implementation of the technique are given.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1975
Accession Number
ADA013569

Entities

People

  • D. A. Waterman

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Algorithms
  • Alphabets
  • Artificial Intelligence
  • Computational Complexity
  • Computer Programs
  • Computers
  • Databases
  • Health Services
  • Hypotheses
  • Information Processing
  • Notation
  • Pattern Recognition
  • Psychology
  • Public Health
  • Recognition

Readers

  • Computer Vision.
  • Software Engineering
  • Systems Analysis and Design