Model diagnosis using the condition specification: from conceptualization to implementation
WSC '94 Proceedings of the 26th conference on Winter simulation
Compartmental Modeling with Networks
Compartmental Modeling with Networks
Structure and Interpretation of Computer Programs
Structure and Interpretation of Computer Programs
Simulation Model Design and Execution: Building Digital Worlds
Simulation Model Design and Execution: Building Digital Worlds
Introduction to Computer Simulation; A System Dynamics Approach
Introduction to Computer Simulation; A System Dynamics Approach
How to build valid and credible simulation models
Proceedings of the 38th conference on Winter simulation
Representing and generating uncertainty effectively
Winter Simulation Conference
Verification and validation of simulation models
Winter Simulation Conference
An introduction to openSimulator and virtual environment agent-based M&S Applications
Winter Simulation Conference
Choosing the right model: conceptual modeling for simulation
Proceedings of the Winter Simulation Conference
Introduction to simulation input modeling
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
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Simulation involves modeling and analysis of real-world systems. This tutorial will provide a broad overview of the modeling practice within simulation by introducing the reader to modeling choices found using six dimensions: abstraction, complexity, culture, engineering, environment, and process. Modeling can be a daunting task even for the seasoned modeling and simulation professional, and so my goal is to introduce modeling in two ways: 1) to use one specific type of model (Petri Net) as an anchor for cross-dimensional discussion, and 2) to provide a follow up discussion, with additional non Petri Net examples, to clarify the extent of each dimension. For example, in the abstraction dimension, one must think about scale, refinement, and hierarchy when modeling regardless of the type of modeling language. The reader will come away with a broad framework within which to understand the possibilities of models and of modeling within the practice of simulation.