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Introduction; 1 How to Explore Computer Simulations?; 2 How to Understand the Results of Computer Simulations?; 3 How to Gain Knowledge Through Computer Simulations?; References; Part I: The Art of Exploring Computer Simulations; Doing Research on Simulation Sciences? Questioning Methodologies and Disciplinarities; 1 Unity Does Not Follow from Novelty: On Simulation as an Object of Research; 2 Who Researches How Simulation Research Does Research? Interrelating and Extending the Observer Perspective; 2.1 ; 2.2 ; 2.3 ; 2.4
3 Interdisciplinary Evaluative Research: Taking Simulation Sciences Seriously3.1 ; 3.2 ; 3.3 ; 3.4 ; 3.5 ; 4 In Lieu of a Conclusion; References; On the Missing Coherent Theory of Simulation; 1 Introduction; 2 The Technical-Scientific Conception of Simulation; 3 Core Sciences of Simulation; 3.1 Mathematics; 3.2 Computer Science; 4 Applied Sciences of Simulation; 5 Science Theory of Simulation; 6 Socio-Scientific Theory of Simulation; 6.1 Meaning of Simulation for Political Action Processes; 6.2 Meaning of the Perception of Simulation in Society; 7 Questions; References
The Art of Staging Simulations: Mise-en-scène, Social Impact, and Simulation Literacy1 Introduction; 2 Poietic Simulation; 2.1 Mimesis One, Two, Three; 2.2 Composing Simulations; 2.2.1 Simulation and Prefiguration; 2.2.2 Simulation Configuration; 2.2.3 Refiguring Simulations; 3 Mise-en-scène and Presentation Impact; 4 Staging of Simulations and Simulation Literacy; 4.1 Refiguration Signals; 4.2 Irony or Lie? Simulation or Deceit?; 5 Conclusion; References; Myths of Simulation; 1 Introduction; 2 What Is Simulation?; 3 Myths of Simulation; 3.1 Myth 1: Computer Simulation Is a Virtual Experiment
3.2 Myth 2: Computer Simulation Is Exact3.3 Myth 3: Computers Can Simulate Anything; 4 Conclusions; References; Part II: The Art of Understanding Computer Simulations; Understanding Social Science Simulations: Distinguishing Two Categories of Simulations; 1 Introduction; 2 Two Types of Social Science Simulations; 2.1 Simulations STE; 2.2 Simulations SE; 2.3 Two Model Cases; 3 Understanding the Results of Simulations; 3.1 What-If-Things-Had-Been-Different Questions as a Basis of Inferential Performance Constitutive of Understanding
3.2 Understanding the Results of Simulations STE and Simulations SE3.3 Understanding the Results of the Model Cases; 4 The Challenge of Opacity; 4.1 Opacity Versus Epistemic Transparency; 4.2 Loss of Understanding; 4.3 Relevance for Social Science Simulations; 5 Conclusions; References; Seven Problems with Massive Simulation Models for Policy Decision-Making; 1 Introduction; 2 MSM vs. ASM; 3 The Case of Vaccination Policy Modeling; 4 Seven Problems with MSMs for Policy Purposes; 4.1 What Is the Target?; 4.2 How to Measure Parameters; 4.3 Number of Parameters; 4.4 Number of Mechanisms
3 Interdisciplinary Evaluative Research: Taking Simulation Sciences Seriously3.1 ; 3.2 ; 3.3 ; 3.4 ; 3.5 ; 4 In Lieu of a Conclusion; References; On the Missing Coherent Theory of Simulation; 1 Introduction; 2 The Technical-Scientific Conception of Simulation; 3 Core Sciences of Simulation; 3.1 Mathematics; 3.2 Computer Science; 4 Applied Sciences of Simulation; 5 Science Theory of Simulation; 6 Socio-Scientific Theory of Simulation; 6.1 Meaning of Simulation for Political Action Processes; 6.2 Meaning of the Perception of Simulation in Society; 7 Questions; References
The Art of Staging Simulations: Mise-en-scène, Social Impact, and Simulation Literacy1 Introduction; 2 Poietic Simulation; 2.1 Mimesis One, Two, Three; 2.2 Composing Simulations; 2.2.1 Simulation and Prefiguration; 2.2.2 Simulation Configuration; 2.2.3 Refiguring Simulations; 3 Mise-en-scène and Presentation Impact; 4 Staging of Simulations and Simulation Literacy; 4.1 Refiguration Signals; 4.2 Irony or Lie? Simulation or Deceit?; 5 Conclusion; References; Myths of Simulation; 1 Introduction; 2 What Is Simulation?; 3 Myths of Simulation; 3.1 Myth 1: Computer Simulation Is a Virtual Experiment
3.2 Myth 2: Computer Simulation Is Exact3.3 Myth 3: Computers Can Simulate Anything; 4 Conclusions; References; Part II: The Art of Understanding Computer Simulations; Understanding Social Science Simulations: Distinguishing Two Categories of Simulations; 1 Introduction; 2 Two Types of Social Science Simulations; 2.1 Simulations STE; 2.2 Simulations SE; 2.3 Two Model Cases; 3 Understanding the Results of Simulations; 3.1 What-If-Things-Had-Been-Different Questions as a Basis of Inferential Performance Constitutive of Understanding
3.2 Understanding the Results of Simulations STE and Simulations SE3.3 Understanding the Results of the Model Cases; 4 The Challenge of Opacity; 4.1 Opacity Versus Epistemic Transparency; 4.2 Loss of Understanding; 4.3 Relevance for Social Science Simulations; 5 Conclusions; References; Seven Problems with Massive Simulation Models for Policy Decision-Making; 1 Introduction; 2 MSM vs. ASM; 3 The Case of Vaccination Policy Modeling; 4 Seven Problems with MSMs for Policy Purposes; 4.1 What Is the Target?; 4.2 How to Measure Parameters; 4.3 Number of Parameters; 4.4 Number of Mechanisms