On the Implementation of an Information System for Semantic Modeling and Computer Understanding,

Abstract

In order to program the computer to answer questions about problems which occur in real-world situations, it is necessary to have the computer 'understand' the relevant facts and relationships pertaining to the problem. The field of artificial intelligence is involved with developing the techniques which allow the computer to achieve this level of understanding. These procedures are used in order to solve problems which are beyond the scope of present computer applications. In the report some of the implementation techniques used in an artificial intelligence system are described. The system is designed to maintain a dialogue and answer questions dealing with the driver's world. This experimental data base has been chosen because it is dynamic in nature and is complex enough to allow more than trivial questions and deductions. Also, the problems encountered in this domain are of a general nature and are not restricted to the driver's world. The system has the capability to make intelligent assumptions by either filling in missing information and if multiple interpretations exist, by choosing the most probable interpretation. (Modified author abstract)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1973
Accession Number
AD0775461

Entities

People

  • Steven Jay Weissman

Organizations

  • University of Illinois Urbana–Champaign

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Computers
  • Databases
  • Digital Information
  • Experimental Data
  • Information Systems
  • Models
  • Semantic Models

Fields of Study

  • Computer science

Readers

  • Computer Science.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy