Technology for the United States Navy and Marine Corps, 2000-2035: Becoming a 21st-Century Force Volume 9: Modeling and Simulation (1997) / Chapter Skim
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Appendix H
Appendix H
Pages 216-225
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From page 216... ...
MODELING THEORY Simulation-based Design Research Manufacturing control is traditionally approached with analytic/Markov methods for the creation of analytic models. However, using discrete event models to represent the machines, material handling, and input devices frees the modeler for experimentation with new and unique control methods.
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Augmenting or replacing current simulation languages to support dynamic structure modeling would greatly increase the power of simulations to study complex structurally variable systems to gain true insight and predictability. This technology has been the subject of numerous investigations, but only recently has a first theoretical framework even been proposed and implemented.
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From page 218... ...
Potential applications span all of the M&S activities of interest to DOD with significant implications for model characterization from behavior and model abstraction techniques. Examples are Advanced Imagery Exploitation and Defense Automated Warning Systems, as well as many other areas requiring nonmonotonic reasoning about abstraction and assumptions.
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The approach employs two specifications for a discrete event model: an operational specification for the behavior of a model and an assertional specification for its temporal properties. A model' s verification is based on a language acceptance checking mechanism for which the assertional model constitutes a language grammar and the operational model acts as string generators.
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Insertion of this technology would provide great benefits to DOD in largescale, complex systems modeling, simulation, and analysis. It significantly reduces model development time by an efficient reuse of existing simulation models as building blocks.
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Existing approaches cannot exploit information about performance impacts to search parameter subspaces in relation to their criticality. To address these problems, a multi-resolution search strategy in a distributed, high-performance simulation environment was developed (Kim and Zeigler, 1996~.2 High-performance Parallel Discrete Event Simulation Mapping large-scale discrete event models onto massively parallel architectures (Almasi and Gottlieb, 1989)
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ADVANCED M&S ENVIRONMENTS FOR INTELLIGENT/ COGNITIVE SYSTEMS Building models of intelligence, perception, and human performance has proved to be difficult due in part to the uncertainty in the psycho-physiological theories proposed to explain behavioral phenomena. Modern software engineering approaches such as spiral development suggest intelligent and cognitive model development using an incremental refinement approach (Young, 1992~.
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New forms of neural and cognitive models, capable of dynamic behavioral modification, need to be explored to adequately capture flexible behavior. Visualization and Significant-Event Detection in Discrete-Event Simulation Any large-scale simulation is by definition complex owing to the size and diversity of the data.
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To undertake effective M&S throughout its life cycle requires the active involvement of the various groups involved with model development, simulation analysis, and implementation. Unfortunately, tools and methodologies currently available from commercial vendors and consultants are primarily single-user tools that provide inadequate support for the collaborative team-based environment that characterizes modern organizations.
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APPENDIX H 225 where success is dependent on teams working together, collaborative software will increase the productivity and effectiveness of these teams. Research is needed to extend advanced M&S capabilities by embedding them in the distributed group support tools environments, to enable distributed groups to construct, analyze, and implement model-based designs in concurrent .
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