Generation of Architectures for Distributed Intelligence Systems

Abstract

An approach to the modeling of discrete event distributed intelligence system is presented that uses ordinary Petri Nets for fixed structure architectures. The model leads to the precise formulation of the problem of generating the complete set of architectures that satisfy a number of resource and design constraints. Two algorithms are presented: The first one (the DFS algorithm) starts with the specification of the desired functionality and generates data flow structures with prescribed redundancy and complexity; then the various functions are allocated to resources; the second one (the Lattice algorithm) starts with a given set of decision making units and obtains the partially ordered sets that contain all the feasible architectures. The resulting architectures can be analyzed to evaluate their performance characteristics. Man machine interaction, Machine intelligence, Air traffic control, Management engineering.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1989
Accession Number
ADA205783

Entities

People

  • Alexander H. Levis

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Boundaries
  • Data Fusion
  • Decision Support Systems
  • Demographic Cohorts
  • Environment
  • Industrial Plants
  • Information Exchange
  • Information Processing
  • Monitoring
  • Operations Management
  • Organizational Structure
  • Petri Nets
  • Probability
  • Probability Distributions
  • Redundancy
  • Transitions

Fields of Study

  • Computer science
  • Engineering

Readers

  • Operations Research
  • Parallel and Distributed Computing.