On Extending Temporal Models in Timed Influence Networks

Abstract

An extension to the formalism of Timed Influence Networks, including time-varying and cyclic influences is presented. The proposed time-varying influence functions allow modeling of influences whose strengths vary with time. A cyclic influence, on the other hand, provides a provision for a self-promoting set of influences. The two extensions will provide TIN models with the capability to depict PMESII (i.e., political, military, economic, social, infrastructure, and information) aspects of informal and uncertain domains, in the quest for the evaluation of various courses of action. An earlier mapping from a TIN model to a Time Sliced Bayesian Network is revisited and redefined for the new temporal extension. The temporal approach is illustrated with the help of a TIN model, used earlier for an effects based operations application.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2009
Accession Number
ADA503025

Entities

People

  • Abbas K. Zaidi
  • Alexander H. Levis
  • P. Papantoni-kazakos

Organizations

  • George Mason University

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Algorithms
  • Artificial Intelligence
  • Bayesian Networks
  • Capital Investments
  • Command And Control
  • Dynamic Programming
  • Electrical Engineering
  • Engineering
  • Health Services
  • Intelligent Systems
  • National Security
  • Probability
  • Probability Distributions
  • Public Health
  • Random Variables
  • War Games

Readers

  • Joint Military Operations and Doctrine.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML