From Metaphors to Models: Broadening the Lens of the Hunter Warrior Experiment with a Complex Adaptive System Tool
Abstract
Complex systems theory can help to answer specific combat experimentation questions using an agent-based simulation model built around complex adaptive system (CAS) principles. Military analysts have used simulation models and field experiments for years to gain insight into the fundamental dynamics of combat. Each research methodology has its traditional advantages and disadvantages. Past simulation efforts have traditionally focused on the "science" of war at the expense of the "art" of war. The nonlinear interdependencies, feedback, and "soft" factors of combat (like cohesion or trust) have just been too difficult to model. The "new" or nonlinear sciences provide a totally different framework for analysts to work within. Specifically, the field of the nonlinear sciences referred to as complex systems theory has encouraged military scientists to build analytic tools from a bottom-up approach rather than a traditional top-down approach. This approach coupled with advances in programming and computing power allow agent-based simulation models to be built that allow analysts to examine forces in combat as a complex adaptive system. These models are now being built to capture the actions of individual soldiers (agents) and allow forces to learn, adapt, plan, and re-direct efforts and resources within broadly defined behavior boundaries. Unanticipated and unexpected relationships often result from this modeling approach, which can make it a superior tool for "broadening the lens" of various warfare scenarios.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1999
- Accession Number
- ADA530228
Entities
People
- Michael B. West
Organizations
- Marine Corps University