A Framework for Building and Reasoning with Adaptive and Interoperable PMESII Models

Abstract

A framework for the development and integration of Political, Military, Economic, Social, Information, and Infrastructure (PMESII) models in support of a Commander's Predictive Environment (CPE) was investigated and developed. Key challenges were allowing analysts to share their models, interconnect their models, and explore the relationships between elements in a network of integrated models. Areas explored included how to translate between different interfaces, ontologies, sub-domains, and formalisms, e.g., Bayesian networks or causal diagrams for representing and executing or simulating models. Modeling paradigms investigated included, causal graphical models, stability and reconstruction operations models (SROM), concept graphs, concept maps, and various tools for building neural network models and production rules. Also included are results of investigations, recommendations for resolving model incompatibilities, methods for reasoning with heterogeneous networks of models, and a system design specification.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2007
Accession Number
ADA475419

Entities

People

  • John Langton
  • Subrata Das

Tags

Communities of Interest

  • C4I
  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Bayesian Networks
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computers
  • Data Mining
  • Information Science
  • Information Systems
  • Machine Learning
  • Neural Networks
  • Ontologies
  • Probabilistic Models
  • Reasoning
  • Self Organizing Systems

Readers

  • Computational Modeling and Simulation
  • Database Systems and Applications
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML