Simulating Science: Computer Simulations as Scientific Instruments

Alvarado, Ramón

  • 出版商: Springer
  • 出版日期: 2024-08-24
  • 售價: $4,020
  • 貴賓價: 9.5$3,819
  • 語言: 英文
  • 頁數: 164
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031386493
  • ISBN-13: 9783031386497
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.

商品描述(中文翻譯)

本書提供了一個哲學框架,以理解電腦模擬作為科學工具。這與現有的哲學方法形成鮮明對比,後者歷史上將電腦模擬理解為形式抽象或廣泛解釋的實證實踐。為了支持其論點,本書對傳統哲學方法及其各自的局限性進行了徹底的檢視。然而,與其他從科學哲學角度探討電腦模擬的論述不同,本書融入了技術哲學和科學史的見解。因此,本書為科學哲學家、技術專家及其他對該主題感興趣的研究者提供了有關電腦模擬在科學及基於科學的政策制定中設計、開發和部署的哲學問題的全面概述。

作者簡介

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.

作者簡介(中文翻譯)

拉蒙·阿爾瓦拉多是俄勒岡大學的哲學助理教授。他研究計算方法和技術在科學與社會中的認識論和倫理學意涵。他已發表有關數據驅動技術(如人工智慧)在科學中所帶來的認識論意涵的論文,以及對於我們普遍依賴電腦模擬進行科學探究的正當性挑戰的探討。他也撰寫了有關不透明的計算方法(如人工智慧、機器學習和大數據)對民主過程所帶來挑戰的文章。