Design of a Rule-Oriented System for Implementing Expertise

Abstract

This Note describes the preliminary design of a Rule-Oriented System for Implementing Expertise (ROSIE). This system will serve as a tool for model builders seeking to apply expert knowledge to the analysis of problems and the evaluation of solutions in complex domains, especially domains for which useful analytic models are unavailable. Models built within the ROSIE system constitute simulations in the application domain. Control in these models is data-directed. That is, actions are specified by sets of rules having the basic form: 'If CONDITIONS then ACTIONS.' The actions are executed when data matching the conditions appear in the model's data base. Major features of ROSIE include: hierarchic structures on data elements and rules, user selection of rule- invocation strategies, user control of rule iterations, user control of rule and data activation, and sophisticated user support tools.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1979
Accession Number
ADA074544

Entities

People

  • D. A. Waterman
  • Frederick Hayes-roth
  • Gary Martins
  • Philip Klahr
  • Richard H. Anderson
  • Stanley J. Rosenschein

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • C4I
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognitive Science
  • Computer Programming
  • Computer Science
  • Computers
  • Data Sets
  • Databases
  • Debugging
  • Information Processing
  • Information Systems
  • Language
  • Materials
  • New York
  • Pattern Recognition
  • Recognition
  • Rule Based Systems
  • Task Forces

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation