Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
Motivated Metamodels: Synthesis of Cause-Effect Reasoning and Statistical Metamodeling
Motivated Metamodels: Synthesis of Cause-Effect Reasoning and Statistical Metamodeling
Data farming: discovering surprise
WSC '04 Proceedings of the 36th conference on Winter simulation
Work smarter, not harder: guidelines for designing simulation experiments
Proceedings of the 38th conference on Winter simulation
State-of-the-Art Review: A User's Guide to the Brave New World of Designing Simulation Experiments
INFORMS Journal on Computing
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The Department of Defense (DOD) is transforming its way of acquiring new systems and capabilities. Effective test and evaluation is becoming more difficult as individual platforms become part of complex systems of systems (SoS) that must interoperate on a joint battlefield. The Joint Test and Evaluation Methodology (JTEM) program is tasked to develop and evaluate methods and processes used to conduct testing in a realistic joint mission environment. An analytical meta-model, test, meta-model (MTM) has been proposed that supports a Capability Test Methodology (CTM) and provides an analysis methodology that supports determining both mission effectiveness and system-of-systems performance. Modeling and simulation techniques may be applied through each stage of the MTM to effectively focus test and evaluation resources on critical test issues. Modeling and simulation support through Intelligent Design of Experiments, Agent Based Simulation, Data Farming, and Visualization offer potential opportunities to refine the test space to essential test elements. Other analytical modeling and simulation techniques are being explored that may enable evaluation of mission effectiveness and system-of-system performance. This paper proposes methods and processes in the analysis methodology to include modeling and simulation selection and integration that would enable the implementation of the CTM.