Simulating Science / Synthese Library Bd.479 (PDF)

Name: Simulating Science / Synthese Library Bd.479
Brand: Springer International Publishing
SKU: 149822363
Price: 96.29 EUR
Availability: OnlineOnly

Computer Simulations as Scientific Instruments (Sprache: Englisch)

Autor: Ramón Alvarado

Schreiben Sie einen Kommentar zu "Simulating Science / Synthese Library Bd.479".

Simulating Science / Synthese Library Bd.479, Ramón Alvarado

Merken

Mehr zum Inhalt Autorenporträt Video

eBook (pdf) 96.29 €

Buch (Gebunden) 106.99 €

sofort als Download lieferbar

Bestellnummer: 149822363

Printausgabe 106.99 €

eBook (pdf) -10% 96.29 €

Download bestellen

Verschenken

48 DeutschlandCard Punkte sammeln

Lastschrift, Kreditkarte, Paypal, Rechnung
Kostenloser tolino webreader

Produktdetails

Produktbeschreibung
Autorenporträt
eBook Hilfe
Biblio. Angaben / Produktdetails

Produktinformationen zu „Simulating Science / Synthese Library Bd.479 (PDF)“

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.

Autoren-Porträt von Ramón Alvarado

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.