Distributed Belief Systems

Abstract

This report describes research on the logic of commonsense and nonmonotonic reasoning. The unifying theme in this work is that of the semantical basis for commonsense reasoning, in terms both of algorithms (as in logic programming and deductive databases) and of intelligent agents in a complex world. Work was focused on two principal themes. They are resource- limited belief systems, and logic programming. The problem, brief outline is as follows: How can an intelligent system deal with incomplete or uncertain information, and yet on average get useful answers? There is a large body of research on this topic, which includes all of non-monotonic reasoning and more besides. The attack on the problem emphasized two special contexts: logic programming, and situated (real-time) reasoning.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1991
Accession Number
ADA244286

Entities

People

  • Donald Perlis
  • Jack Minker

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Autonomy
  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Cognition
  • Cognitive Science
  • Computer Languages
  • Computer Programming
  • Computer Science
  • Databases
  • Intelligent Agents
  • Intelligent Systems
  • Language
  • Linguistics
  • Mathematics
  • Natural Languages
  • Reasoning
  • Relational Databases

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence