Computation and Implementation of Non-Monotonic Deductive Databases.

Abstract

This is the final report on a 3-year grant from the Army Research Office to the University of Maryland to conduct research in the area of 'Computation and Implementation of Non-Monotonic 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.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 15, 1995
Accession Number
ADA300824

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
  • Databases
  • Engineering
  • Information Systems
  • Integer Programming
  • Language
  • Military Research
  • Probabilistic Models
  • Probability
  • Reasoning
  • Universities

Fields of Study

  • Computer science

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Database Systems and Applications
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.