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‘These essays, including a masterful introduction by the editors & a useful glossary of Pali terms, constitute a rich addition to the emerging field of comparative religion ethics & demonstrate the fruitfulness of collaborative studies.’–Journal of Religion.
Computer science and artificial intelligence in particular have no curriculum in research methods, as other sciences do. This book presents empirical methods for studying complex computer programs: exploratory tools to help find patterns in data, experiment designs and hypothesis-testing tools to help data speak convincingly, and modeling tools to help explain data. Although many of these techniques are statistical, the book discusses statistics in the context of the broader empirical enterprise. The first three chapters introduce empirical questions, exploratory data analysis, and experiment design. The blunt interrogation of statistical hypothesis testing is postponed until chapters 4 and 5, which present classical parametric methods and computer-intensive (Monte Carlo) resampling methods, respectively. This is one of few books to present these new, flexible resampling techniques in an accurate, accessible manner.Much of the book is devoted to research strategies and tactics, introducing new methods in the context of case studies. Chapter 6 covers performance assessment, chapter 7 shows how to identify interactions and dependencies among several factors that explain performance, and chapter 8 discusses predictive models of programs, including causal models. The final chapter asks what counts as a theory in AI, and how empirical methods—which deal with specific systems—can foster general theories.Mathematical details are confined to appendixes and no prior knowledge of statistics or probability theory is assumed. All of the examples can be analyzed by hand or with commercially available statistics packages.The Common Lisp Analytical Statistics Package (CLASP), developed in the author’s laboratory for Unix and Macintosh computers, is available from The MIT Press.A Bradford Book
Zygmunt Bauman is one of the most admired social thinkers of our time. Once a Marxist sociologist, he has surrendered the narrowness of both Marxism and sociology, and dares to write in language that ordinary people can understand—about problems they feel ill equipped to solve. This book is no dry treatise but is instead what Bauman calls “a report from a battlefield,” part of the struggle to find new and adequate ways of thinking about the world in which we live. Rather than searching for solutions to what are perhaps the insoluble problems of the modern world, Bauman proposes that we reframe the way we think about these problems. In an era of routine travel, where most people circulate widely, the inherited beliefs that aid our thinking about the world have become an obstacle. Bauman seeks to liberate us from the thinking that renders us hopeless in the face of our own domineering governments and threats from unknown forces abroad. He shows us we can give up belief in a hierarchical arrangement of states and powers. He challenges members of the “knowledge class” to overcome their estrangement from the rest of society. Gracefully, provocatively, Bauman urges us to think in new ways about a newly flexible, newly challenging modern world. As Bauman notes, quoting Vaclav Havel, “hope is not a prognostication.” It is, rather, alongside courage and will, a mundane, common weapon that is too seldom used.
ما از اخلاق چه انتظاری داریم؟ این سوال شاید تاحدودی برای عموم مردم و یا متخصصان این رشته قابل پاسخ باشد؛ اینکه خوب بودن را به ما بیاموزد و در تنظیم روابط فردی م...
جشن کتاب تهران به ایستگاه سی و یکم رسیده است. حال و احوال نشر کتاب خوب نیست و باید فرهنگدوستان را به خرید و هدیه دادن کتاب ترغیب نمود. خانه اخلاقپژوهان جوان ب...
بنیاد کتابهای اخلاق اسلامی عمدتا پالایش جان از آلودگیها و آراستن آن به زیباییها است. اندیشه محوری این قبیل کتابها آن است که انسان فعلی آنی نیست که باید باشد...
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