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A computer scientist and a performance and new media theorist define and document the emerging field of mixed reality performance.Working at the cutting edge of live performance, an emerging generation of artists is employing digital technologies to create distinctive forms of interactive, distributed, and often deeply subjective theatrical performance. The work of these artists is not only fundamentally transforming the experience of theater, it is also reshaping the nature of human interaction with computers. In this book, Steve Benford and Gabriella Giannachi offer a new theoretical framework for understanding these experiences—which they term mixed reality performances—and document a series of landmark performances and installations that mix the real and the virtual, live performance and interactivity. Benford and Giannachi draw on a number of works that have been developed at the University of Nottingham's Mixed Reality Laboratory, describing collaborations with artists (most notably the group Blast Theory) that have gradually evolved a distinctive interdisciplinary approach to combining practice with research. They offer detailed and extended accounts of these works from different perspectives, including interviews with the artists and Mixed Reality Laboratory researchers. The authors develop an overarching theory to guide the study and design of mixed reality performances based on the approach of interleaved trajectories through hybrid structures of space, time, interfaces, and roles. Combinations of canonical, participant, and historic trajectories show how such performances establish complex configurations of real and virtual, local and global, factual and fictional, and personal and social.

In a world where politics is conducted through images, the tools of art history can be used to challenge the privatized antidemocratic sphere of American television.

The triumphant return of a book that gave us permission to throw out the rulebook, in activities ranging from play to architecture to revolution.When this book first appeared in 1972, it was part of the spirit that would define a new architecture and design era—a new way of thinking ready to move beyond the purist doctrines and formal models of modernism. Charles Jencks and Nathan Silver's book was a manifesto for a generation that took pleasure in doing things ad hoc, using materials at hand to solve real-world problems. The implications were subversive. Turned-off citizens of the 1970s immediately adopted the book as a DIY guide. The word "adhocism” entered the vocabulary, the concept of adhocism became part of the designer's toolkit, and Adhocism became a cult classic. Now Adhocism is available again, with new texts by Jencks and Silver reflecting on the past forty years of adhocism and new illustrations demonstrating adhocism's continuing relevance.Adhocism has always been around. (Think Robinson Crusoe, making a raft and then a shelter from the wreck of his ship.) As a design principle, adhocism starts with everyday improvisations: a bottle as a candleholder, a dictionary as a doorstop, a tractor seat on wheels as a dining room chair. But it is also an undeveloped force within the way we approach almost every activity, from play to architecture to city planning to political revolution.Engagingly written, filled with pictures and examples from areas as diverse as auto mechanics and biology, Adhocism urges us to pay less attention to the rulebook and more to the real principle of how we actually do things. It declares that problems are not necessarily solved in a genius's "eureka!” moment but by trial and error, adjustment and readjustment.

An introductory textbook (requiring no previous knowledge of probability and statistics) that offers students a solid foundation in regression analysis.

A new approach for defining causality and such related notions as degree of responsibility, degrees of blame, and causal explanation.

Analysis of Latin America's economy focusing on development, covering the colonial roots of inequality, boom and bust cycles, labor markets, and fiscal and monetary policy.Latin America is richly endowed with natural resources, fertile land, and vibrant cultures. Yet the region remains much poorer than its neighbors to the north. Most Latin American countries have not achieved standards of living and stable institutions comparable to those found in developed countries, have experienced repeated boom-bust cycles, and remain heavily reliant on primary commodities. This book studies the historical roots of Latin America's contemporary economic and social development, focusing on poverty and income inequality dating back to colonial times. It addresses today's legacies of the market-friendly reforms that took hold in the 1980s and 1990s by examining successful stabilizations and homemade monetary and fiscal institutional reforms. It offers a detailed analysis of trade and financial liberalization, twenty-first century-growth, and the decline in poverty and income inequality. Finally, the book offers an overall analysis of inclusive growth policies for development—including gender issues and the informal sector—and the challenges that lie ahead for the region, with special attention to pressing demands by the vibrant and vocal middle class, youth unemployment, and indigenous populations.

How sharing the mundane details of daily life did not start with Facebook, Twitter, and YouTube but with pocket diaries, photo albums, and baby books.

An argument for a Copernican revolution in our consideration of mental features—a shift in which the world-brain problem supersedes the mind-body problem.Philosophers have long debated the mind-body problem—whether to attribute such mental features as consciousness to mind or to body. Meanwhile, neuroscientists search for empirical answers, seeking neural correlates for consciousness, self, and free will. In this book, Georg Northoff does not propose new solutions to the mind-body problem; instead, he questions the problem itself, arguing that it is an empirically, ontologically, and conceptually implausible way to address the existence and reality of mental features. We are better off, he contends, by addressing consciousness and other mental features in terms of the relationship between world and brain; philosophers should consider the world-brain problem rather than the mind-body problem. This calls for a Copernican shift in vantage point—from within the mind or brain to beyond the brain—in our consideration of mental features.Northoff, a neuroscientist, psychiatrist, and philosopher, explains that empirical evidence suggests that the brain's spontaneous activity and its spatiotemporal structure are central to aligning and integrating the brain within the world. This spatiotemporal structure allows the brain to extend beyond itself into body and world, creating the "world-brain relation” that is central to mental features. Northoff makes his argument in empirical, ontological, and epistemic-methodological terms. He discusses current models of the brain and applies these models to recent data on neuronal features underlying consciousness and proposes the world-brain relation as the ontological predisposition for consciousness.

An introduction to the quantitative modeling of biological processes, presenting modeling approaches, methodology, practical algorithms, software tools, and examples of current research.The quantitative modeling of biological processes promises to expand biological research from a science of observation and discovery to one of rigorous prediction and quantitative analysis. The rapidly growing field of quantitative biology seeks to use biology's emerging technological and computational capabilities to model biological processes. This textbook offers an introduction to the theory, methods, and tools of quantitative biology. The book first introduces the foundations of biological modeling, focusing on some of the most widely used formalisms. It then presents essential methodology for model-guided analyses of biological data, covering such methods as network reconstruction, uncertainty quantification, and experimental design; practical algorithms and software packages for modeling biological systems; and specific examples of current quantitative biology research and related specialized methods. Most chapters offer problems, progressing from simple to complex, that test the reader's mastery of such key techniques as deterministic and stochastic simulations and data analysis. Many chapters include snippets of code that can be used to recreate analyses and generate figures related to the text. Examples are presented in the three popular computing languages: Matlab, R, and Python. A variety of online resources supplement the the text.The editors are long-time organizers of the Annual q-bio Summer School, which was founded in 2007. Through the school, the editors have helped to train more than 400 visiting students in Los Alamos, NM, Santa Fe, NM, San Diego, CA, Albuquerque, NM, and Fort Collins, CO. This book is inspired by the school's curricula, and most of the contributors have participated in the school as students, lecturers, or both.ContributorsJohn H. Abel, Roberto Bertolusso, Daniela Besozzi, Michael L. Blinov, Clive G. Bowsher, Fiona A. Chandra, Paolo Cazzaniga, Bryan C. Daniels, Bernie J. Daigle, Jr., Maciej Dobrzynski, Jonathan P. Doye, Brian Drawert, Sean Fancer, Gareth W. Fearnley, Dirk Fey, Zachary Fox, Ramon Grima, Andreas Hellander, Stefan Hellander, David Hofmann, Damian Hernandez, William S. Hlavacek, Jianjun Huang, Tomasz Jetka, Dongya Jia, Mohit Kumar Jolly, Boris N. Kholodenko, Markek Kimmel, Michal Komorowski, Ganhui Lan, Heeseob Lee, Herbert Levine, Leslie M Loew, Jason G. Lomnitz, Ard A. Louis, Grant Lythe, Carmen Molina-París, Ion I. Moraru, Andrew Mugler, Brian Munsky, Joe Natale, Ilya Nemenman, Karol Nienaltowski, Marco S. Nobile, Maria Nowicka, Sarah Olson, Alan S. Perelson, Linda R. Petzold, Sreenivasan Ponnambalam, Arya Pourzanjani, Ruy M. Ribeiro, William Raymond, William Raymond, Herbert M. Sauro, Michael A. Savageau, Abhyudai Singh, James C. Schaff, Boris M. Slepchenko, Thomas R. Sokolowski, Petr Sulc, Andrea Tangherloni, Pieter Rein ten Wolde, Philipp Thomas, Karen Tkach Tuzman, Lev S. Tsimring, Dan Vasilescu, Margaritis Voliotis, Lisa Weber

A rigorous but practical introduction to the economic, financial, and political principles underlying commodity markets.

An industry insider explains why there is so much bad software—and why academia doesn't teach programmers what industry wants them to know.Why is software so prone to bugs? So vulnerable to viruses? Why are software products so often delayed, or even canceled? Is software development really hard, or are software developers just not that good at it? In The Problem with Software, Adam Barr examines the proliferation of bad software, explains what causes it, and offers some suggestions on how to improve the situation.For one thing, Barr points out, academia doesn't teach programmers what they actually need to know to do their jobs: how to work in a team to create code that works reliably and can be maintained by somebody other than the original authors. As the size and complexity of commercial software have grown, the gap between academic computer science and industry has widened. It's an open secret that there is little engineering in software engineering, which continues to rely not on codified scientific knowledge but on intuition and experience. Barr, who worked as a programmer for more than twenty years, describes how the industry has evolved, from the era of mainframes and Fortran to today's embrace of the cloud. He explains bugs and why software has so many of them, and why today's interconnected computers offer fertile ground for viruses and worms. The difference between good and bad software can be a single line of code, and Barr includes code to illustrate the consequences of seemingly inconsequential choices by programmers. Looking to the future, Barr writes that the best prospect for improving software engineering is the move to the cloud. When software is a service and not a product, companies will have more incentive to make it good rather than "good enough to ship."

The first English translation of a classic and groundbreaking work in historical phonology.This is the first English translation of a groundbreaking 1929 work in historical phonology by the renowned linguist Roman Jakobson, considered the founder of modern structural linguistics. A revolutionary treatment of Russian and Slavic linguistics, the book introduced a new type of historical linguistics that focused on the systematic reasons behind phonological change. Rather than treating such changes as haphazard, Jakobson here presents a "teleological,” purposeful approach to language evolution. He concludes by placing his book in the context of the exciting structural developments of the era, including Einstein's theories, Cezanne's art, and Lev Berg's nomogenesis.The original Russian version of the book was lost during the 1939 German invasion of Brno, Czechoslovakia, and the only edition available until now has been the French translation by Louis Brun. Thus this first English translation offers many linguists their first opportunity to read a major early work of Jakobson. Ronald Feldstein, a leading Slavicist and phonologist in his own right, has not only translated the text from French to English, he has also worked to reconstruct something as close to the missing original as possible. Feldstein's end-of-chapter annotations provide explanatory context for particularly difficult passages.

The first textbook to present a comprehensive and detailed economic analysis of electricity markets, analyzing the tensions between microeconomics and political economy.The power industry is essential in our fight against climate change. This book is the first to examine in detail the microeconomics underlying power markets, stemming from peak-load pricing, by which prices are low when the installed generation capacity exceeds demand but can rise a hundred times higher when demand is equal to installed capacity. The outcome of peak-load pricing is often difficult to accept politically, and the book explores the tensions between microeconomics and political economy. Understanding peak-load pricing and its implications is essential for designing robust policies and making sound investment decisions. Thomas-Olivier Léautier presents the model in its simplest form, and introduces additional features as different issues are presented. The book covers all segments of electricity markets: electricity generation, under perfect and imperfect competition; retail competition and demand response; transmission pricing, transmission congestion management, and transmission constraints; and the current policy issues arising from the entry of renewables into the market and capacity mechanisms. Combining anecdotes and analysis of real situations with rigorous analytical modeling, each chapter analyzes one specific issue, first presenting findings in nontechnical terms accessible to policy practitioners and graduate students in management or public policy and then presenting a more mathematical analytical exposition for students and researchers specializing in the economics of electricity markets and for those who want to understand and apply the underlying models.

A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right.

An engaging and unabashedly opinionated examination of what translation is and isn't.

An argument for the centrality of the visual culture of waste—as seen in works by international contemporary artists—to the study of our ecological condition.Ecological crisis has driven contemporary artists to engage with waste in its most non-biodegradable forms: plastics, e-waste, toxic waste, garbage hermetically sealed in landfills. In this provocative and original book, Amanda Boetzkes links the increasing visualization of waste in contemporary art to the rise of the global oil economy and the emergence of ecological thinking. Often, when art is analyzed in relation to the political, scientific, or ecological climate, it is considered merely illustrative. Boetzkes argues that art is constitutive of an ecological consciousness, not simply an extension of it. The visual culture of waste is central to the study of the ecological condition. Boetzkes examines a series of works by an international roster of celebrated artists, including Thomas Hirschhorn, Francis Alÿs, Song Dong, Tara Donovan, Agnès Varda, Gabriel Orozco, and Mel Chin, among others, mapping waste art from its modernist origins to the development of a new waste imaginary generated by contemporary artists. Boetzkes argues that these artists do not offer a predictable or facile critique of consumer culture. Bearing this in mind, she explores the ambivalent relationship between waste (both aestheticized and reviled) and a global economic regime that curbs energy expenditure while promoting profitable forms of resource consumption.

Case studies, personal accounts, and analysis show how to recognize and combat pseudoscience in a post-truth world.In a post-truth, fake news world, we are particularly susceptible to the claims of pseudoscience. When emotions and opinions are more widely disseminated than scientific findings, and self-proclaimed experts get their expertise from Google, how can the average person distinguish real science from fake? This book examines pseudoscience from a variety of perspectives, through case studies, analysis, and personal accounts that show how to recognize pseudoscience, why it is so widely accepted, and how to advocate for real science. Contributors examine the basics of pseudoscience, including issues of cognitive bias; the costs of pseudoscience, with accounts of naturopathy and logical fallacies in the anti-vaccination movement; perceptions of scientific soundness; the mainstream presence of "integrative medicine,” hypnosis, and parapsychology; and the use of case studies and new media in science advocacy.ContributorsDavid Ball, Paul Joseph Barnett, Jeffrey Beall, Mark Benisz, Fernando Blanco, Ron Dumont, Stacy Ellenberg, Kevin M. Folta, Christopher French, Ashwin Gautam, Dennis M. Gorman, David H. Gorski, David K. Hecht, Britt Marie Hermes, Clyde F. Herreid, Jonathan Howard, Seth C. Kalichman, Leif Edward Ottesen Kennair, Arnold Kozak, Scott O. Lilienfeld, Emilio Lobato, Steven Lynn, Adam Marcus, Helena Matute, Ivan Oransky, Chad Orzel, Dorit Reiss, Ellen Beate Hansen Sandseter, Kavin Senapathy, Dean Keith Simonton, Indre Viskontas, John O. Willis, Corrine Zimmerman

A provocative and probing argument showing how human beings can for the first time in history take charge of their moral fate.Is tribalism—the political and cultural divisions between Us and Them—an inherent part of our basic moral psychology? Many scientists link tribalism and morality, arguing that the evolved "moral mind” is tribalistic. Any escape from tribalism, according to this thinking, would be partial and fragile, because it goes against the grain of our nature. In this book, Allen Buchanan offers a counterargument: the moral mind is highly flexible, capable of both tribalism and deeply inclusive moralities, depending on the social environment in which the moral mind operates.We can't be morally tribalistic by nature, Buchanan explains, because quite recently there has been a remarkable shift away from tribalism and toward inclusiveness, as growing numbers of people acknowledge that all human beings have equal moral status, and that at least some nonhumans also have moral standing. These are what Buchanan terms the Two Great Expansions of moral regard. And yet, he argues, moral progress is not inevitable but depends partly on whether we have the good fortune to develop as moral agents in a society that provides the right conditions for realizing our moral potential. But morality need not depend on luck. We can take charge of our moral fate by deliberately shaping our social environment—by engaging in scientifically informed "moral institutional design.” For the first time in human history, human beings can determine what sort of morality is predominant in their societies and what kinds of moral agents they are.

An account of the concepts and intellectual structure of classical thermodynamics that reveals the subject's simplicity and coherence.

A Course in Game Theory presents the main ideas of game theory at a level suitable for graduate students and advanced undergraduates, emphasizing the theory's foundations and interpretations of its basic concepts. The authors provide precise definitions and full proofs of results, sacrificing generalities and limiting the scope of the material in order to do so. The text is organized in four parts: strategic games, extensive games with perfect information, extensive games with imperfect information, and coalitional games. It includes over 100 exercises.

Avant-garde theorist and architect Bernard Tschumi is equally well known for his writing and his practice. Architecture and Disjunction, which brings together Tschumi's essays from 1975 to 1990, is a lucid and provocative analysis of many of the key issues that have engaged architectural discourse over the past two decades—from deconstructive theory to recent concerns with the notions of event and program. The essays develop different themes in contemporary theory as they relate to the actual making of architecture, attempting to realign the discipline with a new world culture characterized by both discontinuity and heterogeneity. Included are a number of seminal essays that incited broad attention when they first appeared in magazines and journals, as well as more recent and topical texts.Tschumi's discourse has always been considered radical and disturbing. He opposes modernist ideology and postmodern nostalgia since both impose restrictive criteria on what may be deemed "legitimate" cultural conditions. He argues for focusing on our immediate cultural situation, which is distinguished by a new postindustrial "unhomeliness" reflected in the ad hoc erection of buildings with multipurpose programs. The condition of New York and the chaos of Tokyo are thus perceived as legitimate urban forms.

A comprehensive introduction to the foundations of model checking, a fully automated technique for finding flaws in hardware and software; with extensive examples and both practical and theoretical exercises.Our growing dependence on increasingly complex computer and software systems necessitates the development of formalisms, techniques, and tools for assessing functional properties of these systems. One such technique that has emerged in the last twenty years is model checking, which systematically (and automatically) checks whether a model of a given system satisfies a desired property such as deadlock freedom, invariants, and request-response properties. This automated technique for verification and debugging has developed into a mature and widely used approach with many applications. Principles of Model Checking offers a comprehensive introduction to model checking that is not only a text suitable for classroom use but also a valuable reference for researchers and practitioners in the field.The book begins with the basic principles for modeling concurrent and communicating systems, introduces different classes of properties (including safety and liveness), presents the notion of fairness, and provides automata-based algorithms for these properties. It introduces the temporal logics LTL and CTL, compares them, and covers algorithms for verifying these logics, discussing real-time systems as well as systems subject to random phenomena. Separate chapters treat such efficiency-improving techniques as abstraction and symbolic manipulation. The book includes an extensive set of examples (most of which run through several chapters) and a complete set of basic results accompanied by detailed proofs. Each chapter concludes with a summary, bibliographic notes, and an extensive list of exercises of both practical and theoretical nature.

The definitive edition of one of the most important scientific books of the twentieth century, setting out the conceptual structure underlying evolutionary biology.This classic work by Julian Huxley, first published in 1942, captured and synthesized all that was then known about evolutionary biology and gave a name to the Modern Synthesis, the conceptual structure underlying the field for most of the twentieth century. Many considered Huxley's book a popularization of the ideas then emerging in evolutionary biology, but in fact Evolution: The Modern Synthesis is a work of serious scholarship that is also accessible to the general educated public. It is a book in the intellectual tradition of Charles Darwin and Thomas Henry Huxley—Julian Huxley's grandfather, known for his energetic championing of Darwin's ideas. A contemporary reviewer called Evolution: The Modern Synthesis "the outstanding evolutionary treatise of the decade, perhaps the century.” This definitive edition brings one of the most important and successful scientific books of the twentieth century back into print. It includes the entire text of the 1942 edition, Huxley's introduction to the 1963 second edition (which demonstrates his continuing command of the field), and the introduction to the 1974 third edition, written by nine experts (many of them Huxley's associates) from different areas of evolutionary biology.

How the twenty-one-layer Apollo spacesuit, made by Playtex, was a triumph of intimacy over engineering. When Neil Armstrong and Buzz Aldrin stepped onto the lunar surface in July of 1969, they wore spacesuits made by Playtex: twenty-one layers of fabric, each with a distinct yet interrelated function, custom-sewn for them by seamstresses whose usual work was fashioning bras and girdles. This book is the story of that spacesuit. It is a story of the triumph over the military-industrial complex by the International Latex Corporation, best known by its consumer brand of "Playtex"—a victory of elegant softness over engineered hardness, of adaptation over cybernetics. Playtex's spacesuit went up against hard armor-like spacesuits designed by military contractors and favored by NASA's engineers. It was only when those attempts failed—when traditional engineering firms could not integrate the body into mission requirements—that Playtex, with its intimate expertise, got the job. In Spacesuit, Nicholas de Monchaux tells the story of the twenty-one-layer spacesuit in twenty-one chapters addressing twenty-one topics relevant to the suit, the body, and the technology of the twentieth century. He touches, among other things, on eighteenth-century androids, Christian Dior's New Look, Atlas missiles, cybernetics and cyborgs, latex, JFK's carefully cultivated image, the CBS lunar broadcast soundstage, NASA's Mission Control, and the applications of Apollo-style engineering to city planning. The twenty-one-layer spacesuit, de Monchaux argues, offers an object lesson. It tells us about redundancy and interdependence and about the distinctions between natural and man-made complexity; it teaches us to know the virtues of adaptation and to see the future as a set of possibilities rather than a scripted scenario.