Harmony Theory: A Mathematical Framework for Stochastic Parallel Processing.

Abstract

Given a set of stimuli presenting views of some environment, how can one characterize the natural modules or objects that compose the environment? Should a given set of items be encoded as a collection of instances or as a set of rules? Restricted formulations of these questions are analyzed within a new mathematical framework that describes stochastic parallel computation. An algorithm is given for simulating this computation once schemas encoding the modules of the environment have been selected. The concept of computational temperature is introduced. As this temperature is lowered, the system appears to display a dramatic tendency to coherently interpret input, even if the evidence for any particular interpretation is very weak. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1983
Accession Number
ADA137883

Entities

People

  • P. Smolensky

Organizations

  • University of California, San Diego

Tags

Communities of Interest

  • C4I
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Artificial Intelligence
  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Computations
  • Computer Simulations
  • Computers
  • Information Processing
  • Learning
  • Military Research
  • Parallel Computing
  • Parallel Processing
  • Phase Transformations
  • Probability
  • Simulations

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  • Artificial Intelligence
  • Mathematical Modeling and Probability Theory.
  • Mathematics or Statistics