Modeling and Simulation: The Computer Science of Illusion -- Copyright -- Contents -- Editorial Foreword -- Preface -- Chapter 1 Basic Concepts and Tools -- 1.1 Modeling and Simulation: What is It? -- 1.2 Validity, Credibility, Tractability, and Verification -- 1.3 System State and Causal Systems -- 1.4 Classification of Dynamical Systems -- 1.5 Discrete and Continuous Simulation -- 1.6 Evolution of Simulation Software -- 1.6.1 Control and Simulation Language (CSL) -- 1.6.2 Strategies of Discrete Event Execution -- 1.6.3 GPSS -- 1.6.4 SIMULA67 -- 1.6.5 Dynamo and System Dynamics Software -- 1.6.6 SPICE -- 1.6.7 DEVS: Discrete Event System Specification -- 1.6.8 DYMOLA -- 1.6.9 Chronology of M&S Software Development -- 1.6.10 Distributed Simulation -- 1.6.11 High Level Architecture (HLA) -- Chapter 2 Continuous Simulation -- 2.1 Introduction -- 2.2 Ordinary Differential Equations and Models of Concentrated Parameter Systems -- 2.3 Continuous Simulation with Analog Computers -- 2.4 Numerical Methods for Ordinary Differential Equations (ODE) -- 2.4.1 Runge-Kutta Methods -- 2.4.2 Richardson Approximations -- 2.4.3 Predictor-Corrector Methods -- 2.4.4 Stiff Equations -- 2.4.5 Example of Continuous Simulation Using ODEs -- 2.5 Signal Flow Graphs -- 2.6 Bond Graphs -- 2.7 Alternative Modeling Tools and Dynamic Uncertainty -- 2.8 Distributed Parameter Systems -- 2.9 System Dynamics -- 2.10 Galactic Simulations and The N-Body Problem -- Chapter 3 Discrete and Combined Simulation - Example of PASION Implementation -- 3.1 Are Discrete Models Valid? -- 3.1.1 The Discrete Time and Discrete Events -- 3.1.2 Semidiscrete Events -- 3.2 PASION - PSM++ Simulation System -- 3.2.1 PASION - PSM++ Summary -- 3.2.2 Getting Started -- 3.2.3 Processes and Events -- 3.2.4 Permanently Active Processes -- 3.2.5 State and Conditional Events -- 3.2.6 PASION Code Generators.

3.3 Queuing Model Generator (QMG) -- 3.3.1 QMG Blocks -- 3.3.2 Example of a QMG Model -- 3.3.3 The SVOP Procedure -- 3.3.4 PASION Animators -- 3.3.5 Another QMG Example: Manufacturing System Model -- 3.4 Complex System Simulator of PASION -- 3.4.1 What is Complexity? -- 3.4.2 CSS Module of PASION System -- 3.4.3 Model Coupling -- 3.4.4 Example -- Chapter 4 Differential Inclusions in Modeling and Simulation -- 4.1 Differential Inclusions -- 4.2 Possible Applications -- 4.3 Differential Inclusion Solver (DIS) -- 4.4 Application in Uncertainty Treatment -- 4.5 Uncertain Future and Differential Inclusions -- 4.6 Conclusions and Future Research -- Chapter 5 Fluid Dynamics - Simulating Oscillating Gas Flow -- 5.1 Computational Fluid Dynamics -- 5.2 Numerical Problems -- 5.3 The Simulation Tool -- 5.4 Examples -- 5.5 Oscillating Gas Flow -- 5.6 Two-Dimensional Fluid-Dynamics Models are Invalid -- 5.7 Conclusions -- Chapter 6 Simulating Phenomena of General Relativity -- 6.1 Some Basic Concepts -- 6.2 The Simulation Tool and Model Time -- 6.3 Simulation Experiments -- 6.3.1 Relativistic Orbit -- 6.3.2 Light Signals -- 6.3.3 3D Light Cones -- 6.3.4 Time Distortion -- 6.3.5 Approaching a Black Hole -- 6.3.6 Image Distortion - Gravitational Lens -- 6.3.7 Rotating Black Hole -- Chapter 7 Interactions between Hostile Hierarchical Structures: Simulation of the Struggle between Terrorist and Antiterrorist Organizations -- 7.1 Introduction -- 7.2 The Model -- 7.3 Structures -- 7.4 The Tool and the Model Implementation -- 7.5 Simulation Experiments -- 7.6 Conclusions -- Chapter 8 On a Metric Structure in the Space of Dynamic System Models -- 8.1 DEVS -- 8.2 Definitions -- 8.3 Distance Between Models -- 8.4 Examples -- 8.5 Conclusions -- Chapter 9 Simulation Optimization: A Case Study of a Parallel Optimization Algorithm -- 9.1 Introduction -- 9.2 Problem Statement.

9.3 Simulation Experiment -- 9.4 Conclusions -- References -- Index.