Time and Causality Across the Sciences
暫譯: 科學中的時間與因果關係

Kleinberg, Samantha

Time and Causality Across the Sciences
  • 出版商: Cambridge
  • 出版日期: 2019-11-07
  • 售價: $3,010
  • 貴賓價: 9.5 折 $2,860
  • 語言: 英文
  • 頁數: 270
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1108476678
  • ISBN-13: 9781108476676

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book, geared toward academic researchers and graduate students, brings together research on all facets of how time and causality relate across the sciences. Time is fundamental to how we perceive and reason about causes. It lets us immediately rule out the sound of a car crash as its cause. That a cause happens before its effect has been a core, and often unquestioned, part of how we describe causality. Research across disciplines shows that the relationship is much more complex than that. This book explores what that means for both the metaphysics and epistemology of causes - what they are and how we can find them. Across psychology, biology, and the social sciences, common themes emerge, suggesting that time plays a critical role in our understanding. The increasing availability of large time series datasets allows us to ask new questions about causality, necessitating new methods for modeling dynamic systems and incorporating mechanistic information into causal models.

商品描述(中文翻譯)

這本書針對學術研究者和研究生，匯集了有關時間與因果關係在各科學領域中如何相互關聯的研究。時間是我們感知和推理因果關係的基礎。它使我們能夠立即排除汽車碰撞的聲音作為其原因。因果關係中，原因發生在結果之前的觀念一直是我們描述因果關係的核心，且常常不被質疑。然而，跨學科的研究顯示，這種關係比我們想像的要複雜得多。本書探討這對於因果的形而上學和認識論意味著什麼——它們是什麼，我們如何能夠找到它們。在心理學、生物學和社會科學中，出現了共同的主題，暗示時間在我們的理解中扮演著關鍵角色。隨著大型時間序列數據集的日益可用，我們能夠提出有關因果關係的新問題，這需要新的方法來建模動態系統並將機制信息納入因果模型中。

作者簡介

Samantha Kleinberg, Stevens Institute of Technology, New Jersey
Samantha Kleinberg is an Associate Professor of computer science at Stevens Institute of Technology, New Jersey. She received her Ph.D. in computer science from New York University, and previously held an NSF/CRA Computing Innovation Fellowship at Columbia University. She is the recipient of NSF CAREER and JSMF Complex Systems Scholar Awards and is a Kavli Fellow of the National Academy of Sciences. She is the author of Causality, Probability and Time (Cambridge, 2012) and Why: A Guide to Finding and Using Causes (2015).

作者簡介(中文翻譯)

薩曼莎·克萊因伯格，史蒂文斯科技學院，新澤西州

薩曼莎·克萊因伯格是史蒂文斯科技學院的計算機科學副教授。她在紐約大學獲得計算機科學博士學位，並曾在哥倫比亞大學擔任NSF/CRA計算創新獎學金獲得者。她是NSF CAREER和JSMF複雜系統學者獎的獲得者，也是美國國家科學院的卡夫利研究員。她是《因果性、概率與時間》（劍橋，2012）和《為什麼：尋找和使用因果關係的指南》（2015）的作者。

目錄大綱

1. An introduction to time and causality Samantha Kleinberg
2. Causality and time: an introductory typology Bert Leuridan and Thomas Lodewyck
3. The direction of causation Phil Dowe
4. On the causal nature of time Victor Gijsbers
5. Causation in a physical world: an overview of our emerging understanding Jenann Ismael
6. Intervening in time Neil R. Bramely
7. Time-event relationships as representations for constructing cell mechanisms Yin Chung Au
8. Causation, time asymmetry, and causal mechanisms in the social sciences Inge de Bal and Erik Weber
9. Temporalization in causal modeling Jonathan Livengood and Karen R. Zwier
10. Reintroducing dynamics into static causal models Naftali Weinberger
11. Overcoming the poverty of mechanisms in causal models David Jensen.

目錄大綱(中文翻譯)

1. An introduction to time and causality Samantha Kleinberg

2. Causality and time: an introductory typology Bert Leuridan and Thomas Lodewyck

3. The direction of causation Phil Dowe

4. On the causal nature of time Victor Gijsbers

5. Causation in a physical world: an overview of our emerging understanding Jenann Ismael

6. Intervening in time Neil R. Bramely

7. Time-event relationships as representations for constructing cell mechanisms Yin Chung Au

8. Causation, time asymmetry, and causal mechanisms in the social sciences Inge de Bal and Erik Weber

9. Temporalization in causal modeling Jonathan Livengood and Karen R. Zwier

10. Reintroducing dynamics into static causal models Naftali Weinberger

11. Overcoming the poverty of mechanisms in causal models David Jensen.

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