Control for Intelligent Tutoring Systems: A Comparison of Blackboard Architectures and Discourse Management Networks

Abstract

An intelligent tutoring system must have some control mechanism for deciding what instructional action to perform next. Traditional CAI systems have inflexible control mechanisms that procedurally encode tutorial strategies and prevent them from being readily extended to handle new domains or tutorial strategies. Two alternative architectures proposed recently to address these problems are discourse management networks and blackboards. This paper compares these two architectures and argues that an intelligent tutoring system controlled by a blackboard architecture can deliver significantly more effective and flexible instruction than one controlled by a discourse management network. Keywords: Intelligent tutoring systems, Instructional planning, Dynamic network, Training dynamic planning, Blackboard architecture, Discourse management network, Devices.

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Document Details

Document Type
Technical Report
Publication Date
Sep 16, 1988
Accession Number
ADA201534

Entities

People

  • William R. Murray

Organizations

  • FMC Corporation

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • California
  • Cognitive Science
  • Computer Programming
  • Computer Science
  • Computers
  • Education
  • Educational Psychology
  • Information Systems
  • Military Personnel
  • Military Research
  • Naval Training
  • Programming Languages
  • Psychology
  • Students
  • Systems Engineering
  • Training

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Parallel and Distributed Computing.
  • STEM Education