Dynamic Constraint Networks

Abstract

The primary objective of this project has been the development of systems that reason in dynamic and open-ended environment and that use networks as their primary representation language. The focus of our research has been temporal reasoning, neural networks, truth maintenance, and default reasoning. This investigation has led to several basic results: the expressiveness of constraint networks was analyzed, tractable classes of constraint satisfaction problems were identified and effective processing techniques were developed.

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Document Details

Document Type
Technical Report
Publication Date
Feb 03, 1994
Accession Number
ADA278396

Entities

People

  • Judea Pearl

Organizations

  • University of California, Los Angeles

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • California
  • Contracts
  • Databases
  • Environment
  • Formal Languages
  • Graphics
  • Language
  • Maintenance
  • Morals (Social Psychology)
  • Neural Networks
  • Probability
  • Reasoning
  • Semantics
  • Signal Processing
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Neural Network Machine Learning.
  • Operations Research

Technology Areas

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