Theory of Modeling and Simulation: Discrete Event & Iterative System Computational Foundations (Paperback, 3)

Part I: Basics 1. Introduction to System Modeling Concepts 2. Framework for Modeling and Simulation 3. Framework Refinements and Applications (V&V and Properties)

Part II: System Specifications and Discrete Event System Specification (DEVS) 4. Hierarchy of System Specifications? 5. Hierarchy of System Morphisms? 6. Iterative Specification and DEVS - fundamental existence, progressiveness (legitimacy) 7. Dynamic Structure

Part II:? DEVS Simulation 8. Parallel DEVS and Abstract Simulator? 9. Parallel DEVS Simulation Protocol, Nutaro 10. Multicomponent DEVS and Simulator,?Franceschini 11. DEVS-based Simulator Speedup: Flattening (TG Kim TOMACS), Amdahl ?

Part III: DEVS Representation of Systems: Event-based Control and Simulation 12. DEVS and DEVS-like Systems: Universality and Uniqueness (Iterative Spec) and DEV&DESS (Hybrid)? 13a. Quantization, Discretization, higher order and implicit methods, activity relationship 13b. Unifying Event-based Control and Simulation: DTSS and quantization solve and combine the problems using a single formalism (DEVS)

Part IV: Multi-resolution families: Abstraction, Approximation, and Trade-off 14a. Stochastic DEVS, Probability spaces, legitimacy, formalism extension and their properties (closure under, coupling, coupling of DEVS and STDEVS, etc). 14b. Markov Modeling - DEVS Markov derived from Stochastic DEVS, Semi-Markov? 15. Abstraction: Constructing Model Families and SES, Multi-aspects, Vectorial DEVS 16. Approximate Morphisms: Living with Error, Markov Performance Trade-off

Part V: DEVS-Based Modeling 17. DEVS and Neural Modeling, Spiking DEVS 18. DEVS and Emergence at Syntactic Level