{"title":"Judea Pearl","description":"\u003cp\u003eDelve into the groundbreaking work of Judea Pearl, a pioneer in artificial intelligence and causal reasoning. Explore his insightful books that bridge the gap between science and human understanding. 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Listen in as Jews of all backgrounds reflect, argue, and imagine. \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eWhen \u003cem\u003eWall Street Journal\u003c\/em\u003e reporter Daniel Pearl was brutally murdered in Pakistan, many Jews were particularly touched by his last words affirming his Jewish identity. Many were moved to reflect on or analyze their feelings toward their lives as Jews.\u003c\/p\u003e\u003cp\u003eThe saying two Jews, three opinions well reflects the Jewish community's broad range of views on any topic. \u003cem\u003eI Am Jewish\u003c\/em\u003e captures this richness of interpretation and inspires Jewish people of all backgrounds to reflect upon and take pride in their identity.\u003c\/p\u003e\u003cp\u003eContributions, ranging from major essays to a paragraph or a sentence, come from adults as well as young people in the form of personal feelings, statements of theology, life stories and historical reflections. 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Steinhardt - Kerri Strug - Lawrence H. Summers - Mike Wallace - Elie Wiesel - Leon Wieseltier - Sherwin T. Wine - Ruth R. Wisse - Peter Yarrow - A. B. Yehoshua - Eric H. 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Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. 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The influential book in how causality revolutionized science and the world, by the pioneer of artificial intelligence  'Correlation  does not imply causation.' This mantra was invoked by scientists for  decades in order to avoid taking positions as to whether one thing  caused another, such as smoking and cancer and carbon dioxide and global  warming. But today, that taboo is dead. The causal revolution, sparked  by world-renowned computer scientist Judea Pearl and his colleagues, has  cut through a century of confusion and placed cause and effect on a  firm scientific basis. Now, Pearl and science journalist Dana Mackenzie explain causal thinking to general readers for the first time, showing  how it allows us to explore the world that is and the worlds that could  have been. It is the essence of human and artificial intelligence. And  just as Pearl's discoveries have enabled machines to think better, The  Book of Why explains how we can think better.","brand":"WoB","offers":[{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":49619639173393,"sku":"GOR008972086","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ GOOD \/ INTERNAL","offer_id":49660048703761,"sku":"GOR009708184","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ LIKE_NEW \/ INTERNAL","offer_id":50407737950481,"sku":"GOR009031927","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ WELL_READ \/ INTERNAL","offer_id":53132386304273,"sku":"GOR009913199","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0241242630.jpg?v=1751449817"},{"product_id":"book-of-why-book-judea-pearl-9780141982410","title":"The Book of Why","description":"The hugely influential book on how the understanding of causality revolutionized science and the world, by the pioneer of artificial intelligence  'Wonderful ... illuminating and fun to read' Daniel Kahneman, Nobel Prize-winner and author of Thinking, Fast and Slow  'Correlation  does not imply causation.' For decades, this mantra was invoked by scientists in order to avoid taking positions as to whether one thing  caused another, such as smoking and cancer, or carbon dioxide and global  warming. But today, that taboo is dead. The causal revolution, sparked  by world-renowned computer scientist Judea Pearl and his colleagues, has  cut through a century of confusion and placed cause and effect on a  firm scientific basis. Now, Pearl and science journalist Dana Mackenzie explain causal thinking to general readers for the first time, showing  how it allows us to explore the world that is and the worlds that could  have been. It is the essence of human and artificial intelligence. And  just as Pearl's discoveries have enabled machines to think better, The  Book of Why explains how we too can think better.  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The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic. The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational.  Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation.  Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information.   Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences.  Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use.  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