因果关系
反事实思维
珍珠
因果关系(物理学)
反事实条件
阐述(叙述)
领域(数学)
认识论
多样性(控制论)
概率逻辑
因果推理
计算机科学
认知
管理科学
心理学
数据科学
认知科学
人工智能
哲学
数学
工程类
物理
量子力学
神经科学
艺术
神学
文学类
纯数学
标识
DOI:10.1017/cbo9780511803161
摘要
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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