Böcker utgivna av MIT Press Ltd

Jean Baudrillard meets Cookie Mueller in this gathering of French theory and new American fiction.Compiled in 2001 to commemorate the passing of an era, Hatred of Capitalism brings together highlights of Semiotext(e)'s most beloved and prescient works. Semiotext(e)'s three-decade history mirrors the history of American thought. Founded by French theorist and critic Sylvere Lotringer as a scholarly journal in 1974, Semiotext(e) quickly took on the mission of melding French theory with the American art world and punk underground. Its Foreign Agents, Native Agents, Active Agents and Double Agents imprints have brought together thinkers and writers as diverse as Gilles Deleuze, Assata Shakur, Bob Flanagan, Paul Virillio, Kate Millet, Jean Baudrillard, Michelle Tea, William S. Burroughs, Eileen Myles, Ulrike Meinhof, and Fanny Howe. In Hatred of Capitalism, editors Kraus and Lotringer bring these people together in the same volume for the first time.

An introduction to the techniques and algorithms of the newest field in robotics.Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.

The use of case studies to build and test theories in political science and the other social sciences has increased in recent years. Many scholars have argued that the social sciences rely too heavily on quantitative research and formal models and have attempted to develop and refine rigorous methods for using case studies. This text presents a comprehensive analysis of research methods using case studies and examines the place of case studies in social science methodology. It argues that case studies, statistical methods, and formal models are complementary rather than competitive. The book explains how to design case study research that will produce results useful to policymakers and emphasizes the importance of developing policy-relevant theories. It offers three major contributions to case study methodology: an emphasis on the importance of within-case analysis, a detailed discussion of process tracing, and development of the concept of typological theories. Case Studies and Theory Development in the Social Sciences will be particularly useful to graduate students and scholars in social science methodology and the philosophy of science, as well as to those designing new research projects, and will contribute greatly to the broader debate about scientific methods.

A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes.

Edwin Hutchins combines his background as an anthropologist and an open ocean racing sailor and navigator in this account of how anthropological methods can be combined with cognitive theory to produce a new reading of cognitive science. His theoretical insights are grounded in an extended analysis of ship navigation—its computational basis, its historical roots, its social organization, and the details of its implementation in actual practice aboard large ships. The result is an unusual interdisciplinary approach to cognition in culturally constituted activities outside the laboratory—"in the wild."Hutchins examines a set of phenomena that have fallen in the cracks between the established disciplines of psychology and anthropology, bringing to light a new set of relationships between culture and cognition. The standard view is that culture affects the cognition of individuals. Hutchins argues instead that cultural activity systems have cognitive properties of their own that are different from the cognitive properties of the individuals who participate in them. Each action for bringing a large naval vessel into port, for example, is informed by culture: the navigation team can be seen as a cognitive and computational system.Introducing Navy life and work on the bridge, Hutchins makes a clear distinction between the cognitive properties of an individual and the cognitive properties of a system. In striking contrast to the usual laboratory tasks of research in cognitive science, he applies the principal metaphor of cognitive science—cognition as computation (adopting David Marr's paradigm)—to the navigation task. After comparing modern Western navigation with the method practiced in Micronesia, Hutchins explores the computational and cognitive properties of systems that are larger than an individual. He then turns to an analysis of learning or change in the organization of cognitive systems at several scales. Hutchins's conclusion illustrates the costs of ignoring the cultural nature of cognition, pointing to the ways in which contemporary cognitive science can be transformed by new meanings and interpretations.A Bradford Book

How are we able to understand each other in our daily interactions? Through the use of such 'folk' concepts as belief, desire, intention, and expectation, Daniel Dennett asserts in this first fullscale presentation of a theory of intentionality that he has been developing for almost twenty years. We adopt a stance, a predictive strategy of interpretation that presupposes the rationality of the people-or other entities-we are hoping to understand and predict.

According to Rosalind Picard, if we want computers to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have and express emotions.

Studies major works by important sculptors since Rodin in the light of different approaches to general sculptural issues to reveal the logical progressions from nineteenth-century figurative works to the conceptual work of the present.

The Crisis of Parliamentary Democracy offers a powerful criticism of the inconsistencies of representative democracy.Described both as "the Hobbes of our age" and as "the philosophical godfather of Nazism," Carl Schmitt was a brilliant and controversial political theorist whose doctrine of political leadership and critique of liberal democratic ideals distinguish him as one of the most original contributors to modern political theory. The Crisis of Parliamentary Democracy offers a powerful criticism of the inconsistencies of representative democracy. First published in 1923, it has often been viewed as an attempt to destroy parliamentarism; in fact, it was Schmitt's attempt to defend the Weimar constitution. The introduction to this new translation places the book in proper historical context and provides a useful guide to several aspects of Weimar political culture. The Crisis of Parliamentary Democracy is included in the series Studies in Contemporary German Social Thought, edited by Thomas McCarthy.

The notion that "thinking about computing is one of the most exciting things the human mind can do" sets both The Little Schemer (formerly known as The Little LISPer) and its new companion volume, The Seasoned Schemer, apart from other books on LISP. The authors' enthusiasm for their subject is compelling as they present abstract concepts in a humorous and easy-to-grasp fashion. Together, these books will open new doors of thought to anyone who wants to find out what computing is really about. The Little Schemer introduces computing as an extension of arithmetic and algebra; things that everyone studies in grade school and high school. It introduces programs as recursive functions and briefly discusses the limits of what computers can do. The authors use the programming language Scheme, and interesting foods to illustrate these abstract ideas. The Seasoned Schemer informs the reader about additional dimensions of computing: functions as values, change of state, and exceptional cases. The Little LISPer has been a popular introduction to LISP for many years. It had appeared in French and Japanese. The Little Schemer and The Seasoned Schemer are worthy successors and will prove equally popular as textbooks for Scheme courses as well as companion texts for any complete introductory course in Computer Science.

The author's purpose is to set out as simply and vividly as possible the exact grammatical workings of an architectural language.Classical architecture is a visual "language" and like any other language has its own grammatical rules. Classical buildings as widely spaced in time as a Roman temple, an Italian Renaissance palace and a Regency house all show an awareness of these rules even if they vary them, break them or poetically contradict them. Sir Christopher Wren described them as the "Latin" of architecture and the analogy is almost exact. There is the difference, however, that whereas the learning of Latin is a slow and difficult business, the language of classical architecture is relatively simple. It is still, to a great extent, the mode of expression of our urban surroundings, since classical architecture was the common language of the western world till comparatively recent times. Anybody to whom architecture makes a strong appeal has probably already discovered something of its grammar for himself. In this book, the author's purpose is to set out as simply and vividly as possible the exact grammatical workings of this architectural language. He is less concerned with its development in Greece and Rome than with its expansion and use in the centuries since the Renaissance. He explains the vigorous discipline of "the orders" and the scope of "rustication"; the dramatic deviations of the Baroque and, in the last chapter, the relationship between the classical tradition and the "modern" architecture of today. The book is intended for anybody who cares for architecture but more specifically for students beginning a course in the history of architecture, to whom a guide to the classical rules will be an essential companion.

A classic examination of superb design through the centuries.Widely regarded as a classic in the field, Experiencing Architecture explores the history and promise of good design. Generously illustrated with historical examples of designing excellence—ranging from teacups, riding boots, and golf balls to the villas of Palladio and the fish-feeding pavilion of Beijing's Winter Palace—Rasmussen's accessible guide invites us to appreciate architecture not only as a profession, but as an art that shapes everyday experience.In the past, Rasmussen argues, architecture was not just an individual pursuit, but a community undertaking. Dwellings were built with a natural feeling for place, materials and use, resulting in "a remarkably suitable comeliness.” While we cannot return to a former age, Rasmussen notes, we can still design spaces that are beautiful and useful by seeking to understand architecture as an art form that must be experienced. An understanding of good design comes not only from one's professional experience of architecture as an abstract, individual pursuit, but also from one's shared, everyday experience of architecture in real time—its particular use of light, color, shape, scale, texture, rhythm and sound. Experiencing Architecture reminds us of what good architectural design has accomplished over time, what it can accomplish still, and why it is worth pursuing. Wide-ranging and approachable, it is for anyone who has ever wondered "what instrument the architect plays on.”

In a daring revisionist history of modern architecture, Mark Wigley opens up a new understanding of the historical avant-garde. He explores the most obvious, but least discussed, feature of modern architecture: white walls. Although the white wall exemplifies the stripping away of the decorative masquerade costumes worn by nineteenth-century buildings, Wigley argues that modern buildings are not naked. The white wall is itself a form of clothing—the newly athletic body of the building, like that of its occupants, wears a new kind of garment and these garments are meant to match. Not only did almost all modern architects literally design dresses, Wigley points out, their arguments for a modern architecture were taken from the logic of clothing reform. Architecture was understood as a form of dress design.Wigley follows the trajectory of this key subtext by closely reading the statements and designs of most of the protagonists, demonstrating that it renders modern architecture's relationship with the psychosexual economy of fashion much more ambiguous than the architects' endlessly repeated rejections of fashion would suggest. Indeed, Wigley asserts, the very intensity of these rejections is a symptom of how deeply they are embedded in the world of clothing. By drawing on arguments about the relationship between clothing and architecture first formulated in the middle of the nineteenth century, modern architects in fact presented a sophisticated theory of the surface, modernizing architecture by transforming the status of the surface.White Walls, Designer Dresses shows how this seemingly incidental clothing logic actually organizes the detailed design of the modern building, dictating a system of polychromy, understood as a multicolored outfit. The familiar image of modern architecture as white turns out to be the effect of a historiographical tradition that has worked hard to suppress the color of the surfaces of the buildings that it describes. Wigley analyzes this suppression in terms of the sexual logic that invariably accompanies discussions of clothing and color, recovering those sensuously colored surfaces and the extraordinary arguments about clothing that were used to defend them.