Building and Using Large Common Sense Knowledge Bases

Abstract

This project explored the use of qualitative representations, analogical reasoning techniques, and sketching to Create and use large-scale domain theories. We developed and demonstrated qualitative models of economic systems relevant to intelligence analysis, and showed how qualitative spatial reasoning could provide geospatial reasoning relevant for reasoning about military courses of action and trafficability. We started producing a new analogical processing technology, based on our earlier cognitive simulation work on analogical reasoning. We developed techniques that enabled realistic-sized situations to be compared, for automatically extracting and extending cases dynamically based on task constraints from a general purpose knowledge base, and how these techniques could be smoothly integrated with first-principles reasoning. We explored sketching as a means of communication between people and software. We developed new techniques for hosting knowledge bases on top of relational databases.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2001
Accession Number
ADA397614

Entities

People

  • Ken Forbus

Organizations

  • Northwestern University

Tags

Communities of Interest

  • Counter WMD
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognitive Science
  • Cognitive Systems Engineering
  • Computer Science
  • Databases
  • Economic Systems
  • Engineering
  • Environment
  • Geographic Information Systems
  • Information Systems
  • Psychology
  • Relational Databases
  • Simulations
  • Students
  • Trafficability

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation
  • Geospatial Intelligence and Artificial Intelligence Analytics