Simulation-supported Wargaming in MNE 4 :: essays research papers

Simulation-supported Wargaming in MNE 4 1. Introduction The objective of this document is to emphasize the importance of simulation as a measure of complexity reduction and planner’s tool for decision support in MNE 4’s Effects-Based Planning (EBP) process. Starting with an overview of the underlying principles of Wargaming and Modeling and Simulation (M&S), the outcome of this abstract is a ‘Process for the application of simulation to support Wargaming in MNE 4’. This document may also serve as a basis for MNE 4 design and execution decision-makers in order to determine the value of simulation as a wargaming tool for MNE 4. 2. The Art of Wargaming Wargaming and Course-of-Action Analysis are approved instruments of military planning in order to determine the feasibility and validity of military options and plans. Traditionally wargaming was conducted by exposing Blue military options to the challenges of Red Team’s counter-actions just using people’s brain, pen and paper. Today, the complexity of the battlefield has experienced significant increases due to the challenges of asymmetric menaces after the end of the Cold War. The concept of Effects-Based Operations (EBO) tries to embrace these new conditions based on ambitious processes like Knowledge Base Development (KBD). Furthermore, military planning and operation execution have to cope not only with a highly complex and dynamic adversary’s system conducting asymmetric operations, but also with great challenges on the Blue side, such as the coordination and interaction of multiple coalition partners and different agencies and organizations in a non-linear battlespace. Experiences from recent months and years have undoubtedly proven that EBO cannot be successfully conducted without adequate support by IT tools. Especially the various wargaming activities within EBP cannot be properly accomplished by just using traditional measures. Military planners desperately need automated tools in order to handle data masses, multi-dimensional and dynamic interrelations within the adversary’s system and own (blue) forces and instruments. 3. Simulation as an Analysis Method Basically, there are two major approaches for answering optimization questions: the analytical approach and the numerical approach. As the analytic approach tries to exactly calculate results considering the objective function, limitation variables and all other relevant factors, the numerical approach allows only for approximate results often using iterative or even heuristic processes. Nevertheless, numerical methods have a far more practical weight (see Reference 3) since in opposition to the analytical methods they can handle complex systems with great varieties of variables. Simulation is one of a whole set of numerical methods and additionally, it comprises another major advantage especially useful for wargaming problems: it models dynamics.