Boltzmann Machines and Artificial Intelligence,

Abstract

Ackley, Hinton and Sejnowski have recently proposed an algorithm, named a Boltzmann Machine, which is capable of learning to recognize the underlying structure in a set of patterns presented to it. The main purposes of this memorandum are: to introduce Boltzmann Machines to those who are not familiar with them; to outline how Boltzmann Machines may prove useful in the knowledge acquisition problem in artificial intelligence; to report some new results for a model problem; and to sketch out the relationship between Boltzmann Machines and the spin-glass problem.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1985
Accession Number
ADA160644

Entities

People

  • D. G. Bounds

Organizations

  • Royal Signals and Radar Establishment

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Automata Theory
  • Cognitive Science
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computer Simulations
  • Computers
  • Expert Systems
  • Information Science
  • Neural Networks
  • Pattern Recognition
  • Self Organizing Systems
  • Statistical Mechanics

Readers

  • Calculus or Mathematical Analysis
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms