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A professor of computer science at the Massachusetts Institute of Technology, in 1965 Weizenbaum wrote a program that mimicked understanding of human language. ELIZA (named after the My Fair Lady character) acted like a therapist, prompting human users to talk about their problems. But Weizenbaum was horrified when he saw students took the program seriously, pouring their hearts out to the unthinking, unfeeling computer. "No other organism, and certainly no computer, can be made to confront genuine human problems in human terms," Weizenbaum said later. His critiques of artificial intelligence drove a wedge between him and the rest of the A.I. community, and he took the title "heretic" with pride. He received the Award for Professional and Social Responsibility given by the Computer Professionals For Social Responsibility in 1988. Weizenbaum moved back to Germany in 1996; he had fled as a boy with his family to escape the Nazis. He died March 5 from cancer in Germany at 85. From This is True for 8 March 2008 Suggestions for further reading:
 By: Toby Segaran List Price: $39.99 Amazon Price: $26.39 Editorial Review: Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in adataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect  By: Steven Pinker List Price: $29.95 Amazon Price: $19.77 Editorial Review: New York Times bestselling author Steven Pinker possesses that rare combination of scientific aptitude and verbal eloquence that enables him to provide lucid explanations of deep and powerful ideas. His previous books—including the Pulitzer Prize finalist The Blank Slate—have catapulted him into the limelight as one of today’s most important and popular science writers. Now, in The Stuff of Thought, Pinker marries two of the subjects he knows best: language and human nature. The result is a fascinating look at how our words explain our nature. What does swearing reveal about our emotions? Why does innuendo disclose something about relationships? Pinker reveals how our use of prepositions and tenses taps into peculiarly human concepts of space and time, and how our nouns and verbs speak to our notions of matter. Even the names we give our babies have important things to say about our relations to our children and to society. With his signature wit and style, Pinker takes on scientific questions like whether language affects thought, as well as forays into everyday life—why is bulk e-mail called spam and how do romantic comedies get such mileage out of the ambiguities of dating? The Stuff of Thought is a brilliantly crafted and highly readable work that will appeal to fans of readers of everything from The Selfish Gene and Blink to Eats, Shoots & Leaves.  By: Ray Kurzweil List Price: $18.00 Amazon Price: $12.24 Editorial Review: For over three decades, Ray Kurzweil has been one of the most respected and provocative advocates of the role of technology in our future. In his classic The Age of Spiritual Machines, he argued that computers would soon rival the full range of human intelligence at its best. Now he examines the next step in this inexorable evolutionary process: the union of human and machine, in which the knowledge and skills embedded in our brains will be combined with the vastly greater capacity, speed, and knowledge-sharing ability of our creations.  By: Douglas R. Hofstadter List Price: $22.95 Amazon Price: $15.61 Editorial Review: Twenty years after it topped the bestseller charts, Douglas R. Hofstadter's Gödel, Escher, Bach: An Eternal Golden Braid is still something of a marvel. Besides being a profound and entertaining meditation on human thought and creativity, this book looks at the surprising points of contact between the music of Bach, the artwork of Escher, and the mathematics of Gödel. It also looks at the prospects for computers and artificial intelligence (AI) for mimicking human thought. For the general reader and the computer techie alike, this book still sets a standard for thinking about the future of computers and their relation to the way we think. Hofstadter's great achievement in Gödel, Escher, Bach was making abstruse mathematical topics (like undecidability, recursion, and 'strange loops') accessible and remarkably entertaining. Borrowing a page from Lewis Carroll (who might well have been a fan of this book), each chapter presents dialogue between the Tortoise and Achilles, as well as other characters who dramatize concepts discussed later in more detail. Allusions to Bach's music (centering on his Musical Offering) and Escher's continually paradoxical artwork are plentiful here. This more approachable material lets the author delve into serious number theory (concentrating on the ramifications of Gödel's Theorem of Incompleteness) while stopping along the way to ponder the work of a host of other mathematicians, artists, and thinkers. The world has moved on since 1979, of course. The book predicted that computers probably won't ever beat humans in chess, though Deep Blue beat Garry Kasparov in 1997. And the vinyl record, which serves for some of Hofstadter's best analogies, is now left to collectors. Sections on recursion and the graphs of certain functions from physics look tantalizing, like the fractals of recent chaos theory. And AI has moved on, of course, with mixed results. Yet Gödel, Escher, Bach remains a remarkable achievement. Its intellectual range and ability to let us visualize difficult mathematical concepts help make it one of this century's best for anyone who's interested in computers and their potential for real intelligence. --Richard Dragan Topics Covered: J.S. Bach, M.C. Escher, Kurt Gödel: biographical information and work, artificial intelligence (AI) history and theories, strange loops and tangled hierarchies, formal and informal systems, number theory, form in mathematics, figure and ground, consistency, completeness, Euclidean and non-Euclidean geometry, recursive structures, theories of meaning, propositional calculus, typographical number theory, Zen and mathematics, levels of description and computers; theory of mind: neurons, minds and thoughts; undecidability; self-reference and self-representation; Turing test for machine intelligence.Douglas Hofstadter’s book is concerned directly with the nature of “maps” or links between formal systems. However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the cell, if consciousness can emerge out of a formal system of firing neurons, then so too will computers attain human intelligence. Gödel Escher and Bach is a wonderful exploration of fascinating ideas at the heart of cognitive science: meaning, reduction, recursion, and much more.  By: Philip K. Dick List Price: $13.95 Amazon Price: $11.16 Editorial Review: "The most consistently brilliant science fiction writer in the world." --John Brunner THE INSPIRATION FOR BLADERUNNER. . . Do Androids Dream of Electric Sheep? was published in 1968. Grim and foreboding, even today it is a masterpiece ahead of its time. By 2021, the World War had killed millions, driving entire species into extinction and sending mankind off-planet. Those who remained coveted any living creature, and for people who couldn't afford one, companies built incredibly realistic simulacrae: horses, birds, cats, sheep. . . They even built humans. Emigrees to Mars received androids so sophisticated it was impossible to tell them from true men or women. Fearful of the havoc these artificial humans could wreak, the government banned them from Earth. But when androids didn't want to be identified, they just blended in. Rick Deckard was an officially sanctioned bounty hunter whose job was to find rogue androids, and to retire them. But cornered, androids tended to fight back, with deadly results. "[Dick] sees all the sparkling and terrifying possibilities. . . that other authors shy away from." --Paul Williams Rolling Stone |
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