The Distributed Vehicle Monitoring Testbed: A Tool for Investigating Distributed Problem Solving Networks,

Abstract

Cooperative distributed problem solving networks are distributed networks of semi-autonomous processing nodes that work together to solve a single problem. The Distributed Vehicle Monitoring Testbed is a flexible and fully-instrumented research tool for empirically evaluating alternative designs for these networks. The testbed simulates a class of a distributed knowledge-based problem solving systems operating on an abstracted version of a vehicle monitoring task. There are two important aspects to the testbed: (1) it implements a novel generic architecture for distributed problem solving networks that exploits the use of sophisticated local node control and meta-level control to improve global coherence in network problem solving; (2)it serves as an example of how a testbed can be engineered to permit the empirical exploration of design issues in knowledge-based AI systems. The testbed is capable of simulating different degrees of sophistication in problem solving knowledge and different focus-of-attention mechanisms, for varying the distribution and characteristics of error in its (simulated) input data, and for measuring the progress of problem solving. Node configurations and communication channel characteristics can also be independently varied in the simulated network. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1983
Accession Number
ADA148917

Entities

People

  • D. D. Corkill
  • V. R. Lesser

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Artificial Intelligence
  • Automated Speech Recognition
  • Communication Channels
  • Computer Programs
  • Computer Science
  • Computers
  • Computing System Architectures
  • Detectors
  • Engineering
  • Information Science
  • Network Architecture
  • Sensor Networks
  • Simulations
  • Spatial Distribution
  • Statistics

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computer Networking
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms