布莱恩·克里斯汀（Brian Christian），《华尔街日报》畅销书《最有人性的人》作者，该书入选《纽约时报》编辑推荐书目，被《纽约客》杂志评为年度好书。他的多篇作品先后刊登在《纽约客》《大西洋》《连线》《华尔街日报》《卫报》《巴黎评论》及《认知科学》等杂志上，被翻译成11种语言。 汤姆·格里菲思（Tom Griffiths），加州大学伯克利分校心理学和认知科学教授，计算认知科学实验室主任。格里菲思发表过150多篇科学论文，内容涉及认知心理学、文化演进等，受到美国国家科学基金会、斯隆基金会、美国心理学会和心理环境学会等颁发的各类奖项。

A fascinating exploration of how insights from computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind All our lives are constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much...(展开全部)

Alfred V．Aho 博士是哥伦比亚大学计算机科学系主管本科生教学的副主任，IEEE Fellow，美国科学与艺术学院及国家工程学院院士，曾获得IEEE的冯·诺伊曼奖。他是《编译原理》(Compiler：Principles，Techniques，andTools)的第一作者。 他目前的研究方向为量子计算、程式设计语言．编译器和算法等。 John E．Hppcroft 博士是康奈尔大学工程学院院长兼计算机科学系教授，IEEE Fellow，美国科学与艺术学院及国家工程学院院士，1986年因其在数据结构、算法设计与分析等领域的重要贡献而获得图灵奖。他还是《自动机理论，语言和计算导论》(Introduction to Antomata Theory，Languages，and Computation)的第一作者。他目前的研究方向是信息存取。 Jefi...(展开全部)

Alfred V．Aho 博士是哥伦比亚大学计算机科学系主管本科生教学的副主任，IEEE Fellow，美国科学与艺术学院及国家工程学院院士，曾获得IEEE的冯·诺伊曼奖。他是《编译原理》(Compiler：Principles，Techniques，andTools)的第一作者。 他目前的研究方向为量子计算、程式设计语言．编译器和算法等。 John E．Hppcroft 博士是康奈尔大学工程学院院长兼计算机科学系教授，IEEE Fellow，美国科学与艺术学院及国家工程学院院士，1986年因其在数据结构、算法设计与分析等领域的重要贡献而获得图灵奖。他还是《自动机理论，语言和计算导论》(Introduction to Antomata Theory，Languages，and Computation)的第一作者。他目前的研究方向是信息存取。 Jefi...(展开全部)

Presents the science of ekistics for systematic analysis of historical, contemporary, and proposed human settlements varying from individual to Ecumenopolis size. Five principles are described as applicable to all cities and applied to growing urban developments. Isolation of Dimensions and Elimination of Alternatives (IDEA method) is proposed for future planning and correction...(展开全部)

From Scientific American The notion that the brain and central nervous system are made of circuits that process stimuli and evoke bodily responses is a founding principle of neuroscience. And we humans believe that once we understand every neural pathway, we will be able to predict a motor response to every sensory input—from feeling the tug of a fish on a hook to catching your...(展开全部)

In this provocative book, Paul Glimcher argues that economic theory may provide an alternative to the classical Cartesian model of the brain and behavior. Glimcher argues that Cartesian dualism operates from the false premise that the reflex is able to describe behavior in the real world that animals inhabit. A mathematically rich cognitive theory, he claims, could solve the mo...(展开全部)

This book provides a solid introduction to computer science that emphasizes software engineering and the development of good programming style. Writing in an engaging style, Stanford professor Eric Roberts makes difficult concepts accessible and exciting. The text focuses on the use of libraries and abstractions, which are essential to modern programming. Moreover, by using lib...(展开全部)

In 1936, when he was just twenty-four years old, Alan Turing wrote a remarkable paper in which he outlined the theory of computation, laying out the ideas that underlie all modern computers. This groundbreaking and powerful theory now forms the basis of computer science. In Turing’s Vision, Chris Bernhardt explains the theory, Turing’s most important contribution, for the gener...(展开全部)