Computer simulations in science and engineering: Concepts, Practices, Perspectives
Durán (Juan M.)
This Page provides (where held) the Abstract of the above Book and those of all the Papers contained in it.
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BOOK ABSTRACT:

Springer Abstract

  1. This book addresses key conceptual issues relating to the modern scientific and engineering use of computer simulations.
  2. It analyses a broad set of questions, from the nature of computer simulations to their epistemological power, including the many scientific, social and ethics implications of using computer simulations.
  3. The book is written in an easily accessible narrative, one that weaves together philosophical questions and scientific technicalities.
  4. It will thus appeal equally to all academic scientists, engineers, and researchers in industry interested in questions (and conceivable answers) related to the general practice of computer simulations.

Contents
  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 Simulations
    • 3.1 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 Understanding
      → 5.1.1 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 Williamson
      → 7.2.2 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

BOOK COMMENT:



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  2. Mauve: Text by correspondent(s) or other author(s); © the author(s)



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