A Formal Theory of C3 and Data Fusion

Abstract

This chapter treats C-3 (Command Control Communication)processes from a formal theory viewpoint. The approach is microscopic in nature, using a time- slice model as opposed, e.g., to the outcome path approach of Petri nets and their generalizations. The usual SHOR paradigm plays the central role in the structuring of nodes, while knowledge based information also plays a role. These intranodal relations as well as intranodal relations in the form of signals and communications through medium noise are combined into a single large scale formal model. In addition, uncertainty in the form of non-stochastic information, such as through linguistic sources, is taken into the data fusion aspect. The basic model consists of axioms representing the various conditional relations among C-3 SHOR paradigm variables, such as input signals, detection states, manpower, supply levels, damage levels, hypotheses of situations and decisions and reactions/responses. The choice of the actual functional distributional relations among these variables relative to the axiom constraints can be interpreted as a C-3 design move with a zero sum game theoretic context. The basic loss function here consists of some pre-chosen moe/mop of the state of health of the friendly and adversary C-3 systems. In turn, the health of each side is determined from an averaging procedure over all node states of the individual node state distributions in conditional form following SHOR paradigm signal processing cycles. These node state distributions are obtainable as out puts of the basic model described above.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1991
Accession Number
ADA240419

Entities

People

  • I. R. Goodman

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Boolean Algebra
  • Computations
  • Data Fusion
  • Data Processing
  • Formal Languages
  • Fuzzy Sets
  • Governments
  • Language
  • Natural Languages
  • Numbers
  • Path Integrals
  • Probability
  • Random Variables
  • Signal Processing
  • Standards
  • Test And Evaluation
  • Theorems

Readers

  • Artificial Intelligence
  • Mathematical Modeling and Probability Theory.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Fully Networked C3
  • Fully Networked C3 - Command and Control