Adaptive Architectures for Effects Based Operations

Abstract

The report documents the research on adaptive architectures for effects based operations. The objectives were to provide a predictive capability against transnational threats and to expand the capability of tools for developing courses of action that include both kinetic and non kinetic actions. The theory and algorithms of Influence nets were developed further to include timed influence nets and dynamic influence nets. The research results were implemented in a tool called CAESAR II/EB (now called Pythia) and were used in several simulated and real applications. The applicability of the approach to transnational threats such as terrorist organizations was investigated. An extension of previous work on organization design was made to incorporate the notion of task graphs.

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Document Details

Document Type
Technical Report
Publication Date
Aug 12, 2006
Accession Number
ADA452137

Entities

People

  • Alexendar H. Levis

Organizations

  • George Mason University

Tags

Communities of Interest

  • C4I
  • Cyber
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Bayesian Networks
  • Command And Control
  • Computational Science
  • Information Operations
  • Information Processing
  • Information Systems
  • International Law
  • National Security
  • Organizational Structure
  • Probabilistic Models
  • Probability Distributions
  • Random Variables
  • Recreation
  • Terrorism
  • Terrorists

Fields of Study

  • Computer science

Readers

  • Mathematical Modeling and Probability Theory.
  • Software Engineering.
  • Strategic Security Studies