Introduction to Simulation and SLAM II (3rd ed.)
Introduction to Simulation and SLAM II (3rd ed.)
An architecture of a knowledge-based simulation engine
WSC '94 Proceedings of the 26th conference on Winter simulation
Integrated modeling and analysis generator environment (IMAGE): a decision support tool
Proceedings of the 30th conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Introduction to Simulation Using SIMAN
Introduction to Simulation Using SIMAN
A framework for configurable hierarchical simulation in a multiple-user decision support environment
WSC '05 Proceedings of the 37th conference on Winter simulation
Meta-modeling framework: A new approach to manage meta-modelbase and modeling knowledge
Knowledge-Based Systems
A survey of customization support in agent-based business process simulation tools
ACM Transactions on Modeling and Computer Simulation (TOMACS)
International Journal of Data Analysis Techniques and Strategies
Proposed visual wiki system for gathering knowledge about discrete event systems
Proceedings of the Winter Simulation Conference
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The increasing complexity of systems has enhanced the use of simulation as a decision-support tool. Often, simulation is the only scientific methodology available to practitioners for the analysis of complex systems. However, only a small fraction of the practical benefits of simulation modeling and analysis have reached the potentially large user community because of the relatively high requirement of time, effort, and cost needed to build and successfully use simulation models. In this paper we describe a model-based approach that seeks to address these problems via the implementation of MODELSIM---a comprehensive modeling and analysis architecture that includes (i) application of the IDEF3 and IDEF5 methods for simulation modeling and analysis specification, (ii) automatic generation of executable component-based simulations from IDEF-based descriptive models, and (iii) reusable libraries of modeling components to facilitate rapid configuration of models as needed over extended periods of time.