Theory of modeling and simulation : discrete event and iterative system computational foundations / Bernard P. Zeigler, Alexandre Muzy, Ernesto Kofman.
Part I Basics: Modeling Formalisms and Simulation Algorithms; 1. Introduction to Systems Modeling Concepts; 2. Framework for Modeling and Simulation; 3. Modeling Formalisms and Their Simulators; 4. Introduction to DEVS; 5. Hierarchy of System Specifications; 6. Basic Formalisms: DEVS, DESS, DTSS; 7. Basic Formalisms: Coupled MultiComponent Systems; 8. Simulators for Basic Formalisms; 9. Multi-Formalism Modeling and Simulation; ; Part II Iterative System Specification; 10. Introduction to Iterative System Specification; 11. Basic Iterative System Specification; 12. Iterative Specification Subformalisms; 13. Finite and Timed Iterative Specifications; ; Part III System Morphisms: Abstraction, Representation, Approximation ; 14. Parallel and Distributed Discrete Event Simulation; 15. Abstraction: Constructing Model Families; 16. Verification, Validation, Approximate Morphisms; 17. DEVS and DEVS-like Systems; 18. Quantization-Based Simulation; 19. DEVS Representation of Iteratively Specified Systems; ; Part IV Enhanced DEVS Formalisms; 20. DEVS Markov Modeling and Simulation; 21. DEVS Markov Model Lumping; 22. Spiking Neuron Modeling- Iterative Specification; 23. Open Research Problems
Summary:
Theory of Modeling and Simulation: Discrete Event & Iterative System Computational Foundations, Third Edition, continues the legacy of this authoritative and complete theoretical work. It is ideal for graduate and PhD students and working engineers interested in posing and solving problems using the tools of logico-mathematical modeling and computer simulation. Continuing its emphasis on the integration of discrete event and continuous modeling approaches, the work focuses light on DEVS and its potential to support the co-existence and interoperation of multiple formalisms in model components.
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