In the vein of Quiet and The Geeks Shall Inherit the Earth comes this illuminating look at what it means to be awkward—and how the same traits that make us socially anxious and cause embarrassing faux pas also provide the seeds for extraordinary success. As humans, we all need to belong. While modern social life can make even the best of us feel gawky, for roughly one in five o...(展开全部)

琼•罗宾逊，英国著名经济学家，也是为数不多的女性经济学家。为后凯恩斯学派的重要人物，曾提出不完全竞争理论，专长在于货币经济学。代表作有《经济哲学》《现代经济学导论》《经济学的异端》等。

琼•罗宾逊，英国著名经济学家，也是为数不多的女性经济学家。为后凯恩斯学派的重要人物，曾提出不完全竞争理论，专长在于货币经济学。代表作有《经济哲学》《现代经济学导论》《经济学的异端》等。

Humor, like pornography, is famously difficult to define. We know it when we see it, but is there a way to figure out what we really find funny—and why? In this fascinating investigation into the science of humor and laughter, cognitive neuroscientist Scott Weems uncovers what’s happening in our heads when we giggle, guffaw, or double over with laughter. While we typically thin...(展开全部)

Humor, like pornography, is famously difficult to define. We know it when we see it, but is there a way to figure out what we really find funny—and why? In this fascinating investigation into the science of humor and laughter, cognitive neuroscientist Scott Weems uncovers what’s happening in our heads when we giggle, guffaw, or double over with laughter. While we typically thin...(展开全部)

朱迪亚·珀尓（Judea Pearl） 现加州大学洛杉矶分校计算机科学教授，“贝叶斯网络”之父，2011年因创立因果推理演算法获得图灵奖，同时也是美国国家科学院院士，IEEE 智能系统名人堂第一批10位入选者之一。目前已出版3本关于因果关系科学的经典著作，分别为《启发法》(1984)、《智能系统中的概率推理》(1988) 和《因果论：模型、论证、推理》(2009)。他还获得过多项顶级科学荣誉，包括认知科学领域的鲁梅哈特奖、物理学及技术领域的富兰克林奖章以及科学哲学领域的拉卡托斯奖。 达纳·麦肯齐（Dana Mackenzie） 普林斯顿大学数学博士，自由科学记者，知名科普作家，著有《无言的宇宙》等作品，其学术论文多次收录于《科学》《新科学家》《科学美国》《探索》等重量级期刊。

A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence “Correlation is not causation.” This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pe...(展开全部)

A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pe...(展开全部)

A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pe...(展开全部)

A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence “Correlation is not causation.” This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pe...(展开全部)