"Many chapters offer a Summary and sources sections which are unique in giving a historical perspective of the presented material. The book can be recommended for graduate and PhD students, as well as for engineers or software architects and scientists interested in mathematical modeling and computer simulation." --zbMATH
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