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Table of Contents
Intro; Preface; Acknowledgements; Contents; Introduction; 1 The Universe of Computer Simulations; 1.1 What Are Computer Simulations?; 1.1.1 Computer Simulations as Problem-Solving Techniques; 1.1.2 Computer Simulations as Description of Patterns of Behavior; 1.2 Kinds of Computer Simulations; 1.2.1 Cellular Automata; 1.2.2 Agent-Based Simulations; 1.2.3 Equation-Based Simulations; 1.3 Concluding Remarks; 2 Units of Analysis I: Models and Computer Simulations; 2.1 Scientific and Engineering Models; 2.2 Computer Simulations; 2.2.1 Constituents of Computer Simulations; 2.3 Concluding Remarks.
3 Units of Analysis II: Laboratory Experimentation and Computer Simulations3.1 Laboratory Experimentation and Computer Simulations; 3.2 The Materiality Argument; 3.2.1 The Identity of the Algorithm; 3.2.2 Material Stuff as Criterion; 3.2.3 Models as (Total) Mediators; 3.3 Concluding Remarks; 4 Trusting Computer Simulations; 4.1 Knowledge and Understanding; 4.2 Building Trust; 4.2.1 Accuracy, Precision, and Calibration; 4.2.2 Verification and Validation; 4.3 Errors and Opacity; 4.3.1 Errors; 4.3.2 Epistemic Opacity; 4.4 Concluding Remarks; 5 Epistemic Functions of Computer Simulations.
5.1 Linguistic Forms of Understanding5.1.1 Explanatory Force; 5.1.2 Predictive Tools; 5.1.3 Exploratory Strategies; 5.2 Non-linguistic Forms of Understanding; 5.2.1 Visualization; 5.3 Concluding Remarks; 6 Technological Paradigms; 6.1 The New Paradigms; 6.2 Big Data: How to Do Science with Large Amounts of Data?; 6.2.1 An Example of Big Data; 6.3 The Fight for Causality: Big Data and Computer Simulations; 6.4 Concluding Remarks; 7 Ethics and Computer Simulations; 7.1 Computer Ethics, Ethics in Engineering, and Ethics in Science; 7.2 An Overview of the Ethics in Computer Simulations.
7.2.1 Williamson7.2.2 Brey; 7.2.3 Ören; 7.3 Professional Practice and a Code of Ethics; 7.3.1 A Code of Ethics for Researchers in Computer Simulations; 7.3.2 Professional Responsibilities; 7.4 Concluding Remarks; References; ; Appendix Titles in This Series.
3 Units of Analysis II: Laboratory Experimentation and Computer Simulations3.1 Laboratory Experimentation and Computer Simulations; 3.2 The Materiality Argument; 3.2.1 The Identity of the Algorithm; 3.2.2 Material Stuff as Criterion; 3.2.3 Models as (Total) Mediators; 3.3 Concluding Remarks; 4 Trusting Computer Simulations; 4.1 Knowledge and Understanding; 4.2 Building Trust; 4.2.1 Accuracy, Precision, and Calibration; 4.2.2 Verification and Validation; 4.3 Errors and Opacity; 4.3.1 Errors; 4.3.2 Epistemic Opacity; 4.4 Concluding Remarks; 5 Epistemic Functions of Computer Simulations.
5.1 Linguistic Forms of Understanding5.1.1 Explanatory Force; 5.1.2 Predictive Tools; 5.1.3 Exploratory Strategies; 5.2 Non-linguistic Forms of Understanding; 5.2.1 Visualization; 5.3 Concluding Remarks; 6 Technological Paradigms; 6.1 The New Paradigms; 6.2 Big Data: How to Do Science with Large Amounts of Data?; 6.2.1 An Example of Big Data; 6.3 The Fight for Causality: Big Data and Computer Simulations; 6.4 Concluding Remarks; 7 Ethics and Computer Simulations; 7.1 Computer Ethics, Ethics in Engineering, and Ethics in Science; 7.2 An Overview of the Ethics in Computer Simulations.
7.2.1 Williamson7.2.2 Brey; 7.2.3 Ören; 7.3 Professional Practice and a Code of Ethics; 7.3.1 A Code of Ethics for Researchers in Computer Simulations; 7.3.2 Professional Responsibilities; 7.4 Concluding Remarks; References; ; Appendix Titles in This Series.