Efficient Effects-Based Military Planning Final Report
Final rept. 1 Aug 2006-31 Jul 2010
RENSSELAER POLYTECHNIC INST TROY NY DEPT OF ELECTRICAL COMPUTER AND SYSTEMS ENGINEERING
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This research focused on developing a mathematical framework and the associated methods for effects-based military plan modeling and evaluation. Specifically, we first introduced a unified probabilistic framework based on the Dynamic Influence Diagram to systematically represent the causal relationships between actions and their effects, their interactions, their uncertainties, and their dynamics. We then developed advanced machine learning methods to automatically construct such a model for a given campaign and to learn the model parameters from both the training data and the available qualitative domain knowledge. Given the framework, we developed efficient inference methods to quickly evaluate each plan to identify the optimal plan. This research also includes the development of a user-friendly prototype software to evaluate the performance of the proposed methods for military plan modeling and evaluation. The software can produce a model for a military campaign, automatically learn the model structure and parameters, evaluate various possible plans, and identify the one that best meets the campaign objective.
- Information Science
- Military Operations, Strategy and Tactics