AI Planning: Systems and Techniques

Abstract

This article, to appear in AI Magazine (Summer 1990), reviews work done in the area of Artificial Intelligence Planning Systems. The goal of this article is to familiarize the reader with some of the important problems which have arisen in the design of planning systems, and some of the many solutions which have been developed in the over thirty years of planning research. In this paper we provide a broad coverage of the major ideas in the field of artificial intelligence planning and show the direction in which some currrent research is going. We define some of the terms commonly used in the planning literature, describe some of the basic issues arising out the design of planning systems, and survey results in the area. As such a task is virtually never-ending, and any finite document must per force be incomplete, we also provide references to connect each idea to the appropriate literature and to allow readers access to the papers most relevant to their own research for applications work.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1990
Accession Number
ADA227626

Entities

People

  • Austin Tate
  • James Hendler
  • Mark Drummond

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Automata Theory
  • Cognitive Science
  • Computer Languages
  • Computer Science
  • Computers
  • Engineers
  • Literature
  • Machine Learning
  • Maryland
  • Mathematical Analysis
  • Scheduling (Production)
  • United States
  • Universities

Readers

  • Artificial Intelligence
  • Systems Analysis and Design
  • Technical Research and Report Writing.

Technology Areas

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