Temporal Reasoning and Problem Solving

Abstract

Temporal Reasoning involves the study of a general theory of time and an associated reasoning. Representation of time plays an important role in acquiring and manipulating temporal knowledge. Within the artificial intelligence community, there are two popular approaches to representing time: intervals and points. However, very little work has been done to combine the best aspects of these systems under a single framework. The main accomplishments of this project am: (a) developed a temporal framework that combines the advantages of both the point-based and the interval-based systems which allow metric bounds on an event's duration, (b) designed algorithms for satisfying temporal constraints, (c) developed an efficient algorithm for propagating temporal constraints, and explored the feasibility of applying parallelism, and (d) designed and implemented a primitive point-based temporal reasoning system.

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Document Details

Document Type
Technical Report
Publication Date
Jan 28, 1992
Accession Number
ADA248457

Entities

People

  • R. Loganantharaj
  • V. N. Gudivada

Organizations

  • Jackson State University

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Applied Computer Science
  • Artificial Intelligence
  • Computer Programming
  • Computer Science
  • Computers
  • Consistency
  • Expert Systems
  • Intervals
  • Language
  • Operating Systems
  • Parallel Computing
  • Parallel Processing
  • Reasoning
  • Scientists
  • Simplex Method
  • Theoretical Computer Science

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation

Technology Areas

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