Heuristic Programming Project

Abstract

This report summarizes basic and applied research into the science and engineering of knowledge-based systems. This work focused on five important and interrelated problems in building and using knowledge-based systems: 1) Basic Research in Knowledge-Based System Design and Implementation; 2) Intelligent Agents and tools for interacting with complex systems, planning, and cooperative problem solving; 3) The Blackboard Model and integration of knowledge from different sources; 4) Advanced Knowledge-based System Architectures for high performance parallel processing hardware and software; and 5) Knowledge-based VLSI tools for design and testing of integrated circuits. All of the research described in this report was performed within the Knowledge Systems Laboratory (KSL), formerly known as the Heuristic Programming Project (HPP). Sections 3 through 7 of this report summarize the KSL research under this contract. Publications resulting from this work contain the details of results and methodology, and are listed at the end of each section. Section 8 describes the computing environment of the KSL, the equipment purchases made under this contract, and the systems research and development that support the computing resources of the KSL.

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Document Details

Document Type
Technical Report
Publication Date
Mar 04, 1986
Accession Number
ADA165995

Entities

People

  • Bruce G. Buchanan
  • Edward A. Feigenbaum

Organizations

  • Stanford University

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer Languages
  • Computer Programming
  • Computer Science
  • Computers
  • Engineering
  • Expert Systems
  • Graphics
  • Intelligent Agents
  • Knowledge Based Systems
  • Language
  • Parallel Computing
  • Parallel Processing
  • Simulations
  • Software Development
  • Systems Engineering
  • Teamwork

Fields of Study

  • Computer science

Readers

  • Library and Information Science
  • Software Engineering.