欧美畅销20年的认知经典
科学与真实故事完美融合
造访认知的遥远边界 调动自我的创造潜能
【编辑推荐】：
*作者奥利弗·萨克斯被书评家赞为20世纪难得一见的“神经学专家”，也被《纽约时报》誉为“医学桂冠诗人”。他的这一系列“探索者”读本在欧美畅销近20年，不断再版，被翻译成30多种语言，是风靡欧美的经典认知读物。
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*J.K.罗琳、理查德·道金斯敬意推荐。清华大学心理学系教授蔡曙山、果壳网创始人姬十三精彩解读并撰写推荐序。
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*萨克斯说：“我们用眼睛看世界，也用大脑看世界。用大脑看，也就是我们常说的想象。我们熟悉自己的想象模式，思维方式，它决定我们的行为，并将伴随一生。”认识世界的第一步就是认识自己，人类终其一生都走在探索自己与外部世界的道路上。萨克斯对众多不可思议的生命的书写，将人类大脑神奇的适应能力与创造潜能展现了出来，改变了一代人对自我和外部世界的认知。
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*《火星上的人类学家》讲述了七名脑神经受伤者遭受的巨大生活变故。这些常人眼中的异类，在自我与外部世界的相处中激发的巨大潜能，超越了我们现有的认知。科学与真实的完美融合是萨克斯的作品的标志，他讲故事的方式与 《天才在左疯子在右》相似，不同的是，作者是哥伦比亚大学临床神经科教授，有着权威的专业背景，他笔下的人物全部来自真实的故事。
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奥利弗·萨克斯TED演讲视频： http://www.ted.com/talks/oliver_sacks_what_hallucination_reveals_about_our_minds
【内容简介】：
萨克斯是杰出的脑神经专家，也是誉满全球的畅销书作家。他认为：大脑是整个宇宙中最不可思议的物体，具有卓越的可塑性和惊人的适应能力。《火星上的人类学家》讲述了七名脑神经受伤者遭受的巨大生活变故。车祸后患上色盲症、双眼看不见色彩的画家，反而迎来事业的高峰；从小失明的男孩，因爱情而手术，恢复视觉后，却想再度变回盲人；对生活绝望的男人，因为患上怪病，意外成为才华横溢的画家；自己是无法治愈的病人，却成为最优秀的外科医生……这些常人眼中的异类，在自我与外部世界的相处中激发的巨大潜能，超越了我们现有的认知。萨克斯的作品兼具科学与浪漫的情怀，对人类心智的奇妙探索给我们带来无限启发。
【媒体、名人评价】：
“一本十分精彩，充满了理性与感性能量的新书，这是萨克斯送给我们的礼物，可以扩大我们对于自身的认识与体验。” ----《华尔街日报》
“这是一本从各个方面来说都算是杰作的作品…读起来十分有趣味性…萨克斯于希望被放逐之地找到希望，这种艺术让本书成为无价之宝。” ----《芝加哥论坛报》
“迷人…温暖…博学…萨克斯是将科学与老派的讲故事的手法结合了起来…他将病理个案变成了艺术。” ----《时代周刊》
“奥利佛·萨克斯是一个伟大的记录者，对这7个深深困扰的个体具有洞察力的探索，将人的体验的边界进行了拓宽并且告诉了广大的读者。” ----《波士顿环球报》
“萨克斯的故事如此动人，它们不仅给现代医学以启示，更给现代人的生活以巨大的启发。” ——《纽约时报》
“萨克斯有着惊人的天赋，他的文笔明晰晓畅而又动人心弦，人物刻画精致细腻，让当今大多数的小说家相形见绌。” —— 《每日电讯》
“萨克斯用他的故事给我们的人生以绝妙的启迪！” ——《卫报》
“与《错把太太当帽子的人》相比，这次回到每个人与他们的故事——开发其深度与广度，尽管其中有些主题是相似的：孤独症、健忘症、妥瑞氏综合征等。” ----奥利弗∙萨克斯

Computational Modelling in Psychology introduces the principles of using computational models in psychology and provides a clear idea about how model construction, parameter estimation and model selection are carried out in practice. The book is written at a level that permits readers with a background in cognition, but without any modeling expertise. The authors present the content step-by-step by moving from the basic concepts of modeling to issues and application. The book is structured to make clear the logic of individual component techniques and how they relate to each other. The authors focus on the logic of models and the types of arguments that can be made from them, as well as providing detailed practical knowledge about parameter-estimation techniques and model selection and so on. Readability is emphasized throughout to make the necessary mathematics and programming less daunting for beginners. The book's supporting web page provides additional information and programming code.

"Its publication should be a major event for cognitive linguistics and should pose a major challenge for cognitive science. In addition, it should have repercussions in a variety of disciplines, ranging from anthropology and psychology to epistemology and the philosophy of science. . . . Lakoff asks: What do categories of language and thought reveal about the human mind? Offering both general theory and minute details, Lakoff shows that categories reveal a great deal."—David E. Leary, American Scientist

Memory and the Computational Brain offers a provocative argument that goes to the heart of neuroscience, proposing that the field can and should benefit from the recent advances of cognitive science and the development of information theory over the course of the last several decades. A provocative argument that impacts across the fields of linguistics, cognitive science, and neuroscience, suggesting new perspectives on learning mechanisms in the brain Proposes that the field of neuroscience can and should benefit from the recent advances of cognitive science and the development of information theory Suggests that the architecture of the brain is structured precisely for learning and for memory, and integrates the concept of an addressable read/write memory mechanism into the foundations of neuroscience Based on lectures in the prestigious Blackwell-Maryland Lectures in Language and Cognition, and now significantly reworked and expanded to make it ideal for students and faculty

One of the world’s leading philosophers offers aspiring thinkers his personal trove of mind-stretching thought experiments.
Over a storied career, Daniel C. Dennett has engaged questions about science and the workings of the mind. His answers have combined rigorous argument with strong empirical grounding. And a lot of fun.
Intuition Pumps and Other Tools for Thinking offers seventy-seven of Dennett’s most successful "imagination-extenders and focus-holders" meant to guide you through some of life’s most treacherous subject matter: evolution, meaning, mind, and free will. With patience and wit, Dennett deftly deploys his thinking tools to gain traction on these thorny issues while offering readers insight into how and why each tool was built.
Alongside well-known favorites like Occam’s Razor and reductio ad absurdum lie thrilling descriptions of Dennett’s own creations: Trapped in the Robot Control Room, Beware of the Prime Mammal, and The Wandering Two-Bitser. Ranging across disciplines as diverse as psychology, biology, computer science, and physics, Dennett’s tools embrace in equal measure light-heartedness and accessibility as they welcome uninitiated and seasoned readers alike. As always, his goal remains to teach you how to "think reliably and even gracefully about really hard questions."
A sweeping work of intellectual seriousness that’s also studded with impish delights, Intuition Pumps offers intrepid thinkers—in all walks of life—delicious opportunities to explore their pet ideas with new powers.

Thinking and reasoning, long the academic province of philosophy, have over the past century emerged as core topics of empirical investigation and theoretical analysis in the modern fields of cognitive psychology, cognitive science, and cognitive neuroscience. Formerly seen as too complicated and amorphous to be included in early textbooks on the science of cognition, the study of thinking and reasoning has since taken off, brancing off in a distinct direction from the field from which it originated. The Oxford Handbook of Thinking and Reasoning is a comprehensive and authoritative handbook covering all the core topics of the field of thinking and reasoning. Written by the foremost experts from cognitive psychology, cognitive science, and cognitive neuroscience, individual chapters summarize basic concepts and findings for a major topic, sketch its history, and give a sense of the directions in which research is currently heading. Chapters include introductions to foundational issues and methods of study in the field, as well as treatment of specific types of thinking and reasoning and their application in a broad range of fields including business, education, law, medicine, music, and science. The volume will be of interest to scholars and students working in developmental, social and clinical psychology, philosophy, economics, artificial intelligence, education, and linguistics.

Analogy has been the focus of extensive research in cognitive science over the past two decades. Through analogy, novel situations and problems can be understood in terms of familiar ones. Indeed, a case can be made for analogical processing as the very core of cognition. This is the first book to span the full range of disciplines concerned with analogy. Its contributors represent cognitive, developmental, and comparative psychology; neuroscience; artificial intelligence; linguistics; and philosophy.The book is divided into three parts. The first part describes computational models of analogy as well as their relation to computational models of other cognitive processes. The second part addresses the role of analogy in a wide range of cognitive tasks, such as forming complex cognitive structures, conveying emotion, making decisions, and solving problems. The third part looks at the development of analogy in children and the possible use of analogy in nonhuman primates.Contributors Miriam Bassok, Consuelo B. Boronat, Brian Bowdle, Fintan Costello, Kevin Dunbar, Gilles Fauconnier, Kenneth D. Forbus, Dedre Gentner, Usha Goswami, Brett Gray, Graeme S. Halford, Douglas Hofstadter, Keith J. Holyoak, John E. Hummel, Mark T. Keane, Boicho N. Kokinov, Arthur B. Markman, C. Page Moreau, David L. Oden, Alexander A. Petrov, Steven Phillips, David Premack, Cameron Shelley, Paul Thagard, Roger K. R. Thompson, William H. Wilson, Phillip Wolff.

In a complex and uncertain world, humans and animals make decisions under the constraints of limited knowledge, resources, and time. Yet models of rational decision making in economics, cognitive science, biology, and other fields largely ignore these real constraints and instead assume agents with perfect information and unlimited time. About forty years ago, Herbert Simon challenged this view with his notion of "bounded rationality." Today, bounded rationality has become a fashionable term used for disparate views of reasoning. This book promotes bounded rationality as the key to understanding how real people make decisions. Using the concept of an "adaptive toolbox," a repertoire of fast and frugal rules for decision making under uncertainty, it attempts to impose more order and coherence on the idea of bounded rationality. The contributors view bounded rationality neither as optimization under constraints nor as the study of people's reasoning fallacies. The strategies in the adaptive toolbox dispense with optimization and, for the most part, with calculations of probabilities and utilities. The book extends the concept of bounded rationality from cognitive tools to emotions; it analyzes social norms, imitation, and other cultural tools as rational strategies; and it shows how smart heuristics can exploit the structure of environments.