巴特雅（莎拉·埃德勒 Sarah Adler 饰）是一名婚礼喜宴服务员，然而她的生活却非常孤单乏味，父母不常联系，男友也离他而去。一天，巴特雅在海边碰见一个满脸雀斑的小女孩，只穿这一条小泳裤，套着一只游泳圈。巴特雅以为她迷路了，将她带到警察局，小女孩却一句话也不说。巴特雅只好把这个神秘的小女孩带回家里照顾，渐渐地，她和不说话的小女孩似乎建立起了某种信任和依靠，巴特雅便把她带到自己工作的婚宴餐厅，然而小女孩却神秘消失了。巴特雅再次回归孤单。在一次赴约中，巴特雅竟然看见小女孩从不愿摘下的泳圈滚过马路，她上前追赶，却被车撞倒……
本片荣获2007年第60届戛纳电影节的金摄影机奖，以及国际影评人周最佳编剧。

Two childhood friends are recruited for a suicide bombing in Tel Aviv.

Eighteen-year-old Shira is the youngest daughter of the Mendelman family. She is about to be married off to a promising young man of the same age and background. It is a dream come true, and Shira feels prepared and excited. On Purim, her twenty-eight-year-old sister, Esther, dies while giving birth to her first child, Mordechay. The pain and grief that overwhelm the family postpone Shira's promised match. Everything changes when a match is proposed to Yochay-Esther's late husband-to a widow from Belgium. Yochay feels it's too early, although he realizes that sooner or later he must seriously consider getting married again. When the girls' mother finds out that Yochay may marry the widow and move to Belgium with her only grandchild, she proposes a match between Shira and the widower. Shira will have to choose between her heart's wish and her family duty. She will find out that the void which she must choose exists only within her heart.

A German girl travels to Israel to help people with disabilities, where she learns a lot about the role of her grandparents in WWII and meets a man who wants to move to Berlin.

100,000 years ago, at least six human species inhabited the earth. Today there is just one.
Us.
Homo sapiens.
How did our species succeed in the battle for dominance? Why did our foraging ancestors come together to create cities and kingdoms? How did we come to believe in gods, nations and human rights; to trust money, books and laws; and to be enslaved by bureaucracy, timetables and consumerism? And what will our world be like in the millennia to come?
In Sapiens, Dr Yuval Noah Harari spans the whole of human history, from the very first humans to walk the earth to the radical - and sometimes devastating - breakthroughs of the Cognitive, Agricultural and Scientific Revolutions. Drawing on insights from biology, anthropology, palaeontology and economics, he explores how the currents of history have shaped our human societies, the animals and plants around us, and even our personalities. Have we become happier as history has unfolded? Can we ever free our behaviour from the heritage of our ancestors? And what, if anything, can we do to influence the course of the centuries to come?
Bold, wide-ranging and provocative, Sapiens challenges everything we thought we knew about being human: our thoughts, our actions, our power ... and our future.

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.

Everyone makes decisions, but not everyone is a decision analyst. A decision analyst uses quantitative models and computational methods to formulate decision algorithms, assess decision performance, identify and evaluate options, determine trade-offs and risks, evaluate strategies for investigation, and so on. This book is written for decision analysts. The term 'decision analyst' covers an extremely broad range of practitioners. Virtually all engineers involved in design (of buildings, machines, processes, etc.) or analysis (of safety, reliability, feasibility, etc.) are decision analysts, usually without calling themselves by this name. In addition to engineers, decision analysts work in planning offices for public agencies, in project management consultancies, they are engaged in manufacturing process planning and control, in financial planning and economic analysis, in decision support for medical or technological diagnosis, and so on and on. Decision analysts provide quantitative support for the decision-making process in all areas where systematic decisions are made. This second edition entails changes of several sorts. First, info-gap theory has found application in several new areas - especially biological conservation, economic policy formulation, preparedness against terrorism, and medical decision-making. Pertinent new examples have been included. Second, the combination of info-gap analysis with probabilistic decision algorithms has found wide application. Consequently 'hybrid' models of uncertainty, which were treated exclusively in a separate chapter in the previous edition, now appear throughout the book as well as in a separate chapter. Finally, info-gap explanations of robust-satisficing behavior, and especially the Ellsberg and Allais 'paradoxes', are discussed in a new chapter together with a theorem indicating when robust-satisficing will have greater probability of success than direct optimizing with uncertain models. This title includes: new theory developed systematically; many examples from diverse disciplines; realistic representation of severe uncertainty; multi-faceted approach to risk; and, quantitative model-based decision theory.

Most tasks require a person or an automated system to reason--to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality. Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

在全世界懷著驚恐目睹以巴對峙引爆的各種衝突之際，本書作者馬克•艾里斯以其猶太裔美籍學者的身分，別有識見地深入探討此一猶太認同的危機時刻。他提出以猶太信仰奠基的正義原則，足以觀照當代世界道德生命的希望——猶太人唯有勇於面對軍事化的以色列及美國猶太領導階層視而未見的問題，才能創造出以巴未來的和平願景。

这套为初学者编写的希伯来语教程共分4册。每册教材包括以下几个部分：
1 会话：实用的日常生活用语
2 阅读：其内容涉及以色列现实社会的各方面，帮助学生了解以色列国情。
3 原文：选自《圣经》等犹太文选，有诗歌，谚语等。
4 俚语：帮助学生接触生活中的真实语言。
5 练习：分为两部分：配合语法学习的练习和中译希的练习。
6 注释：解释课文中出现的各种语法现象和较难理解的句子。
这套教材经以色列希伯来大学Academon出版社授权，在希伯来大学语言中心原版教材的基础上改编而成，以适应中国学生的学习。

犹太人是两千年前被迫流亡的那个民族的后裔吗？《圣经》如何且为什么会变成记录民族起源的的历史书籍？《虚构的犹太民族》拆解了萦绕在犹太民族和以色列历史上的神话和禁忌，提供了一种全新的视角和关于以色列形成的叙事。以色列著名历史学家施罗默·桑德认为，大多数犹太人的故土遍布中东和东欧，这些分散的不同群体能形成一个犹太民族，进而成为一个犹太国家，只可能在一种新编纂的历史下发生，而其背景是整个欧洲的民族主义的崛起和发展。作者颇具胆量地运用现代民族主义的理论澄清了古老的神话。他特立独行的工作，为了解中东现状和解决争端提供了新的可能性。

本书介绍了很多经典有趣的行为实验, 指出我们在什么情况下可以相信自己的直觉, 什么时候不能相信;指导我们如何在商场, 职场和个人生活中做出更好的选择, 以及如何运用不同技巧来避免那些常常使我们陷入麻烦的思维失误.

The New York Times bestselling author of Predictably Irrational and The Upside of Irrationality returns with thought-provoking work to challenge our preconceptions about dishonesty and urge us to take an honest look at ourselves.
Does the chance of getting caught affect how likely we are to cheat?
How do companies pave the way for dishonesty?
Does collaboration make us more honest or less so?
Does religion improve our honesty?
Most of us think of ourselves as honest, but, in fact, we all cheat. From Washington to Wall Street, the classroom to the workplace, unethical behavior is everywhere. None of us is immune, whether it's the white lie to head off trouble or padding our expense reports. In The (Honest) Truth About Dishonesty, award-winning, bestselling author Dan Ariely turns his unique insight and innovative research to the question of dishonesty.
Generally, we assume that cheating, like most other decisions, is based on a rational cost-benefit analysis. But Ariely argues, and then demonstrates, that it's actually the irrational forces that we don't take into account that often determine whether we behave ethically or not. For every Enron or political bribe, there are countless puffed rÉsumÉs, hidden commissions, and knockoff purses. In The (Honest) Truth About Dishonesty, Ariely shows why some things are easier to lie about; how getting caught matters less than we think; and how business practices pave the way for unethical behavior, both intentionally and unintentionally. Ariely explores how unethical behavior works in the personal, professional, and political worlds, and how it affects all of us, even as we think of ourselves as having high moral standards.
But all is not lost. Ariely also identifies what keeps us honest, pointing the way for achieving higher ethics in our everyday lives. With compelling personal and academic findings, The (Honest) Truth About Dishonesty will change the way we see ourselves, our actions, and others.

Why are some nations more technically creative than others and why do some highly innovative societies eventually stagnate? In this provocative study of the value and meaning of technological advance, Joel Mokyr considers how past physical and social conditions have influenced the development and reception of new ideas, and shows how these trends can guide future industrial strategies at a time when more countries than ever before are competing for the rewards of technical ingenuity.

This new edition of The Art of Prolog contains a number of important changes. Most background sections at the end of each chapter have been updated to take account of important recent research results, the references have been greatly expanded, and more advanced exercises have been added which have been used successfully in teaching the course.Part II, The Prolog Language, has been modified to be compatible with the new Prolog standard, and the chapter on program development has been significantly altered: the predicates defined have been moved to more appropriate chapters, the section on efficiency has been moved to the considerably expanded chapter on cuts and negation, and a new section has been added on stepwise enhancement -- a systematic way of constructing Prolog programs developed by Leon Sterling.All but one of the chapters in Part III, Advanced Prolog Programming Techniques, have been substantially changed, with some major rearrangements. A new chapter on interpreters describes a rule language and interpreter for expert systems, which better illustrates how Prolog should be used to construct expert systems. The chapter on program transformation is completely new and the chapter on logic grammars adds new material for recognizing simple languages, showing how grammars apply to more computer science examples.

After every crisis economists and policy analysts ask: can better models help prevent or ameliorate such situations? This book provides an answer. Yes, quantitative models can help if we remember that they are rough approximations to a vastly more complex reality. Models can help if we include realistic but simple representations of uncertainty among our models, and if we retain the pre-eminence of human judgment over the churning of our computers. Info-gap theory is a new method for modeling and managing severe uncertainty. The core of the book presents detailed examples of info-gap analysis of decisions in monetary policy, financial economics, environmental economics for pollution control and climate change, estimation and forecasting. This book is essential reading for economic policy analysts and researchers.

This book emphasizes the creative aspects of algorithm design by examining steps used in the process of algorithms development. The heart of this creative process lies in an analogy between proving mathematical theorems by induction and designing combinatorial algorithms. The book contains hundreds of problems and examples. It is designed to enhance the reader's problem-solving abilities and understanding of the principles behind algorithm design.