Between Prototype and Deployment: Lessons Learned Field-Testing an Expert System

Abstract

During the past two years, an expert system for forecasting the occurrence of fog has been installed at Seymour-Johnson AFB, North Carolina. Aside from validation of the rule base, this field test has provided valuable insights into some of the problems that must be addressed before such systems are deployed operationally worldwide. First is the necessity fo a varying degrees of sophistication on the part of the users must be taken into account. Systems form that makes them readily adaptable from one location to another. Adaptability includes the ability ot use alternate data sources for those occasions or locations where standard observations and measurements are not available. Artificial intelligence; Expert systems; Fog forecasting.

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Document Details

Document Type
Technical Report
Publication Date
Sep 05, 1988
Accession Number
ADA212498

Entities

People

  • Rosemary M. Dyer

Organizations

  • Air Force Systems Command

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Air Force Facilities
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Atmospheric Sciences
  • Computer Programs
  • Computers
  • Expert Systems
  • Field Tests
  • Geographic Regions
  • Meteorology
  • North Carolina
  • Standards
  • United States
  • Weather Forecasting
  • Weather Stations

Fields of Study

  • Computer science

Readers

  • Atmospheric Remote Sensing.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy