作者简介

Judea Pearl is professor of computer science and statistics at the University of California, Los Angeles, where he directs the Cognitive Systems Laboratory and conducts research in artificial intelligence, human reasoning, and philosophy of science. The author of Heuristics and Probabilistic Reasoning, he is a member of the National Academy of Engineering and a Founding Fellow of the American Association for Artificial Intelligence. Dr Pearl is the recipient of the IJCAI Research Excellence Award for 1999, the London School of Economics Lakatos Award for 2001, and the ACM Alan Newell Award for 2004. In 2008, he received the Franklin Medal for computer and cognitive science from the Franklin Institute.

内容简介

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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豆瓣评论

  • 丁白
    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~06-20
  • wk
    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。02-27
  • ▽○▽
    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。01-21
  • beren
    第一遍读,有挺多地方没读懂,大概弄明白了因果这套东西是做什么的,以及怎么做的,大概要边实践边思考了才能理解更深了09-05
  • Gary
    目前唯一可以读到的这一领域顶级教材10-20

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