Computation and Implementation of Non-Monotonic Deductive Databases.

Abstract

This is the final report on a 3-year grant from tne Army Research Office to tne University of Maryland to conduct research in the area of "Computation and Implementation of Nonmonotonic Deductive Databases." The main goal of the research was to study methods of efficient, scalable reasoning about situations where only incomplete and/or -uncertain information is available. Towards this end, we conducted research on databases that contain incomplete symbolic information-such databases are typically called "nonmonotonic deductive databases." We also studied systems that contain incomplete information; but where different probability measures are available specifying partial information about the missing information.

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Document Details

Document Type
Technical Report
Publication Date
Jul 15, 1995
Accession Number
ADA299227

Entities

People

  • V. S. Subrahmanian

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Traffic Control Systems
  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Computations
  • Computer Programming
  • Computer Science
  • Computers
  • Databases
  • Engineering
  • Information Systems
  • Integer Programming
  • Language
  • Linear Programming
  • Probabilistic Models
  • Probability
  • Reasoning

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Research Science/Academic Research