Matching and Abstraction in Knowledge Systems,

Abstract

The first problem is creating what I'll call a 'Knowledge System,' putting into the computer what people have variously called knowledge, or representations of interesting relationships, or expertise, like what a word means, or how it ought to generate inferences. The second one is getting the system to work. The first problem is a human and theoretical limitation; the second is an engineering limitation. And the third problem is a methodological one. Most of the interesting problems that humans solve are not sovled by following a particular algorithm deterministically to some simple solution. Rather, solutions are usually selected from a large set of possible, more or less 'good' answers to a question; that is, a simple question to retrieve some information usually produces a number of partially correct responses, and that produces a requirement to search a set of alternatives for the preferred ones.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1980
Accession Number
ADA095425

Entities

People

  • Frederick Hayes-roth

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Classification
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computers
  • Databases
  • Engineering
  • Grammars
  • Information Processing
  • Information Retrieval
  • Information Science
  • Information Systems
  • Language
  • New York
  • Pattern Recognition
  • Photography

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Database Systems and Applications
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Learning Algorithms