Alvarado Simulating Science

Computer Simulations as Scientific Instruments
1. Auflage 2023
ISBN: 978-3-031-38647-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 479, 164 Seiten, eBook

Reihe: Synthese Library

This book provides a philosophical framework to understand computer simulations as scientific instruments. This is in sharp contrast to existing philosophical approaches on the subject, which have historically understood computer simulations as either formal abstractions or as broadly construed empirical practices. In order to make its case, the volume contains a thorough examination of conventional philosophical approaches as well as their respective limitations. Yet, also, unlike other accounts of computer simulations from the perspective of the philosophy of science, this book incorporates insights from the philosophy of technology and the history of science. Hence, the book offers philosophers of science, technologists and other researchers interested in the topic, a thorough overview of the philosophical issues regarding the design, development and deployment of computer simulations in science and science-based policy making.

Zielgruppe

Research

Autoren/Hrsg.

Alvarado, Ramón

Inhaltsverzeichnis

Chapter 1. Introduction: Instruments of Futures Past.- Chapter 2. Computer Simulations in Science.- Chapter 3. The rise of a dichotomy.- Chapter 4. The via negativa: Computer Simulations as distinct.- Chapter 5. Technical Artifacts, Instruments and a Working Definition for Computer Simulations.-Chapter 6. Hybrid all the way down.- Chapter 7. Implications of the instruments view of computer simulation.- Chapter 8. Conclusion.- Index.

Über Autor(innen)

Ramón Alvarado is Assistant Professor of Philosophy at the University of Oregon. He researches the epistemic and ethical implications of the use of computational methods and technologies in science and society. He has published papers on the epistemic implications of data-driven technologies, such as artificial intelligence, in science as well as on the challenges of justifying our ubiquitous reliance on computer simulations for scientific inquiry. He also written about the challenges that opaque computational methods such as artificial intelligence, machine learning and big data pose to democratic processes.