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NEW YORK TIMES BESTSELLER • “Driving, wild and hilarious” (The Washington Post), here is the incredible “memoir” of the legendary actor, gambler, raconteur, and Saturday Night Live veteran. When Norm Macdonald, one of the greatest stand-up comics of all time, was approached to write a celebrity memoir, he flatly refused, calling the genre “one step below instruction manuals.” Norm then promptly took a two-year hiatus from stand-up comedy to live on a farm in northern Canada. When he emerged he had under his arm a manuscript, a genre-smashing book about comedy, tragedy, love, loss, war, and redemption. When asked if this was the celebrity memoir, Norm replied, “Call it anything you damn like.”
The distinction between norms and facts is long-standing in providing a challenge for psychology. Norms exist as directives, commands, rules, customs and ideals, playing a constitutive role in human action and thought. Norms lay down 'what has to be' (the necessary, possible or impossible) and 'what has to be done' (the obligatory, the permitted or the forbidden) and so go beyond the 'is' of causality. During two millennia, norms made an essential contribution to accounts of the mind, yet the twentieth century witnessed an abrupt change in the science of psychology where norms were typically either excluded altogether or reduced to causes. The central argument in this book is twofold. Firstly, the approach in twentieth-century psychology is flawed. Secondly, norms operating interdependently with causes can be investigated empirically and theoretically in cognition, culture and morality. Human development is a norm-laden process.
Meet Norm. He's 31, 5'9", just over 13 stone, and works a 39 hour week. He likes a drink, doesn't do enough exercise and occasionally treats himself to a bar of chocolate (milk). He's a pretty average kind of guy. In fact, he is the average guy in this clever and unusual take on statistical risk, chance, and how these two factors affect our everyday choices. Watch as Norm (who, like all average specimens, feels himself to be uniquely special), and his friends careful Prudence and reckless Kelvin, turns to statistics to help him in life's endless series of choices - should I fly or take the train? Have a baby? Another drink? Or another sausage? Do a charity skydive or get a lift on a motorbike? Because chance and risk aren't just about numbers - it's about what we believe, who we trust and how we feel about the world around us. From a world expert in risk and the bestselling author of The Tiger That Isn't (and creator of BBC Radio 4's More or Less), this is a commonsense (and wildly entertaining) guide to personal risk and decoding the statistics that represent it.
"Frustrated and unfulfilled with his comfortable existence in the States, successful businessman Norm Schriever knows there is something more he is supposed to do with his life. So, he quits his job, sells and donates all of his possessions, and moves down to Tamarindo, Costa Rica, with nothing but a laptop and a surfboard, vowing to chase his long-forgotten dream of being a writer. But Norm soon finds that paradise has its dark side, and the perfect life in a little seaside town isn't always as easy as it seems. Whether it's adapting to the local customs and the language barrier, dodging lawless drug traffickers and corrupt cops, or spending "quality time" in a Third World prison, Norm always keeps his sense of humor and forges ahead, intent on finding the paradise he has been looking for. Will Norm achieve his dream, and gain a new appreciation for life, love, and happiness in one of the most beautiful places on earth? Or will he succumb to the jungle heat, scorpions, and machete-wielding marauders? Grab your sunblock and buckle up, because you're in for a gonzo blast of laughter and adventure...south of normal"--Cover p. [4].
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Building an expert system involves eliciting, analyzing, and interpreting the knowledge that a human expert uses when solving problems. Expe rience has shown that this process of "knowledge acquisition" is both difficult and time consuming and is often a major bottleneck in the production of expert systems. Unfortunately, an adequate theoretical basis for knowledge acquisition has not yet been established. This re quires a classification of knowledge domains and problem-solving tasks and an improved understanding of the relationship between knowledge structures in human and machine. In the meantime, expert system builders need access to information about the techniques currently being employed and their effectiveness in different applications. The aim of this book, therefore, is to draw on the experience of AI scientists, cognitive psychologists, and knowledge engineers in discussing particular acquisition techniques and providing practical advice on their application. Each chapter provides a detailed description of a particular technique or methodology applied within a selected task domain. The relative strengths and weaknesses of the tech nique are summarized at the end of each chapter with some suggested guidelines for its use. We hope that this book will not only serve as a practical handbook for expert system builders, but also be of interest to AI and cognitive scientists who are seeking to develop a theory of knowledge acquisition for expert systems.
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