Research for Modeling and Simulation

ISAAC (Irreducible Semi-Autonomous Adaptive Combat) is a simple multiagent-based 'toy model' of land combat design to illustrate how certain aspects of land combat can be viewed as emergent phenomena resulting from the collective, nonlinear, decentralized interactions among notional combatants. ISAAC takes a bottom-up, synthesist approach to the modeling of combat, vice the more traditional top-down, reductionist approach, and represents a first step toward developing a complex systems theoretic analyst's toolbox for identifying, exploring, and possibly exploiting emergent collective patterns of behavior on the battlefield. This model was developed as part of a recently completed project, sponsored by the Marine Corps Combat Development Command, that assessed the general applicability of 'complex systems theory.' The focus of this brief is a stand-alone Mission-Fitness Landscape Mapper that uses the core engine to 'map-out' the behavior over a user-defined d-dimensional slice of ISAAC's total N-dimensional phase-space.

In the wake of a changing defense climate, the Navy is continuing to find ways to adjust to its smaller size while maintaining its ability to respond when required. An important part of strategy is to monitor readiness during the downsizing process. The first step toward managing readiness is to understand what readiness is and why it changes over time or among units. This paper contributes to the further understanding of readiness by identifying the relationship between standard readiness measures and their determinants for Navy fighter, attack, and fighter/attack aircraft. The analysis is an extension of our earlier work on explaining the readiness of surface combatants. Our objective was to build a comprehensive database of navy fighter and attack units over time and identify readiness trends and relationships between readiness determinants and readiness measures where they exist.