Cooperative Intelligent Systems for Communication Network Management

Abstract

This report documents new techniques for building intelligent, cooperative agents for assisting in the management of communication networks. First, we undertook a redesign and upgrade of an existing testbed for a distributed simulation environment. Second, we developed a generalization of previous work in distributed automated reasoning to provide for distributed expert systems built using an extension of conventional production rule technology. Third, we enhanced a distributed reasoning system by utilizing a stronger inference rule known as hyper-resolution. Fourth, we developed a distributed constraint based planner. Our results demonstrate a technique for solving the coordination problem among multiple problem solving agents in a distributed extension of the classical artificial intelligence blocks world domain. We have analyzed real world communication equipment, presented a typical problem scenario, and identified the expert knowledge required to solve the problem. We have experimental data that demonstrate significant improvements in the performance of distributed reasoning tasks. We also have experimental data that illustrate the effectiveness of our distributed constraint based planner. Finally, the problem of link activation scheduling is discussed. We show that our planner is able to solve this problem.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2001
Accession Number
ADA390655

Entities

People

  • Robert A. Meyer
  • Susan E. Conry

Organizations

  • Clarkson University

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Communication Channels
  • Communication Networks
  • Communication Systems
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Databases
  • Expert Systems
  • Grammars
  • Lisp Programming Language
  • Network Topology
  • Organizational Structure
  • Reasoning
  • Self Organizing Systems

Fields of Study

  • Computer science
  • Engineering

Readers

  • Artificial Intelligence
  • Distributed Systems and Data Platform Development
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks