Causality
- 书名：Causality
- 作者： Judea Pearl
- 格式：PDF
- 时间：2024-07-01
- 评分：
- ISBN：9780521895606
Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics, philosophy, cognitive science, and the health and social sciences. Judea Pearl presents and unifies the probabilistic, manipulative, counterfactual, and structural approaches to causation and devises simple mathematical tools for studying the relationships between causal connections and statistical associations. Cited in more than 2,100 scientific publications, it continues to liberate scientists from the traditional molds of statistical thinking. In this revised edition, Judea Pearl elucidates thorny issues, answers readers' questions, and offers a panoramic view of recent advances in this field of research. Causality will be of interest to students and professionals in a wide variety of fields. Dr Judea Pearl has received the 2011 Rumelhart Prize for his leading research in Artificial Intelligence (AI) and systems from The Cognitive Science Society.
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丁白06-20看得出来大佬想探讨众多因果相关定义背后的直观背景，如条件独立性等等（涉及bayes的概率理解），但也因此丧失了部分严格性。对sem和反事实的内在原理阐述的极为清晰～
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wk02-27大佬的教科书，不如他和人合写的那本清晰，这本有点啰嗦，当然也更全更细。
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▽○▽01-21与其说是统计学/人工智能的书，不如说是哲学书。把这本书当作单纯介绍因果推断理论的专著是对Pearl思想精髓的断章取义，Pearl关注的不只是因果的问题，而且是关于人类认知推理的大问题。
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