Bøger udgivet af MIT Press Ltd

Literature and neuroscience come together to illuminate the human experience of beauty, which unfolds in time.How does beauty exist in time? This is Gabrielle Starr’s central concern in Just in Time as she explores the experience of beauty not as an abstraction, but as the result of psychological and neurological processes in which time is central. Starr shows that aesthetic experience has temporal scale. Starr, a literary scholar and pioneer in the field and method of neuroaesthetics, which seeks the neurological basis of aesthetic experience, applies this methodology to the study of beauty in literature, considering such authors as Rita Dove, Gerard Manley Hopkins, Henry James, Toni Morrison, and Wallace Stevens, as well as the artists Dawoud Bey and Jasper Johns.Just in Time is richly informed by the methods and findings of neuroscientists, whose instruments let them investigate encounters with art down to the millisecond, but Starr goes beyond the laboratory to explore engagements with art that unfold over durations experiments cannot accommodate. In neuroaesthetics, Starr shows us, the techniques of the empirical sciences and humanistic interpretation support and complement one another. To understand the temporal quality of aesthetic experience we need both cognitive and phenomenological approaches, and this book moves boldly toward their synthesis.

Ideologically opposed, technologically cooperative—an original account of US and USSR industrialization between the world wars.Between 1927 and 1945, a tide of hyperindustrialization washed over the United States and the Soviet Union. While the two countries remained ideologically opposed, the factories that amassed in Stalingrad, Moscow, Detroit, Buffalo, and Cleveland were strikingly similar, as were the new forms of modern work and urban and infrastructural development that supported this industrialization. Drawing on previously unknown archival materials and photographs, the essays in Detroit-Moscow-Detroit document a stunning two-way transfer of technical knowledge between the United States and the USSR that greatly influenced the built environment in both countries, upgrading each to major industrial power by the start of the Second World War. The innovative research presented here explores spatial development, manufacturing, mass production, and organizational planning across geopolitical lines to demonstrate that capitalist and communist built environments in the twentieth century were not diametrically opposed and were, on certain sites, coproduced in a period of intense technical exchange between the two world wars. A fresh account of the effects of industrialization and globalization on US and Soviet cultures, architecture, and urban history, Detroit-Moscow-Detroit will find wide readership among architects, urban designers, and scholars of architectural, urban, and twentieth-century history. Contributors: Richard Anderson, Robert Bird, Oksana Chabanyuk, Jean-Louis Cohen, Christina E. Crawford, Robert Fishman, Christina Kiaer, Evgeniia Konysheva, Mark G. Meerovich, Sonia Melnikova-Raich, Lewis H. Siegelbaum, Maria C. Taylor, Claire Zimmerman, Katherine Zubovich.

How modern architectural language was invented to communicate with the divine—challenging a common narrative of European architectural history.The architectural drawing might seem to be a quintessentially modern form, and indeed many histories of the genre begin in the early modern period with Italian Renaissance architects such as Alberti. Yet the Middle Ages also had a remarkably sophisticated way of drawing and writing about architecture. God’s Own Language takes us to twelfth-century Paris, where a Scottish monk named Richard of Saint Victor, along with his mentor Hugh, developed an innovative visual and textual architectural language. In the process, he devised techniques and terms that we still use today, from sectional elevations to the word “plan.”Surprisingly, however, Richard’s detailed drawings appeared not in an architectural treatise but in a widely circulated set of biblical commentaries. Seeing architecture as a way of communicating with the divine, Richard drew plans and elevations for such biblical constructions as Noah’s ark and the temple envisioned by the prophet Ezekiel. Interpreting Richard and Hugh’s drawings and writings within the context of the thriving theological and intellectual cultures of medieval Paris, Karl Kinsella argues that the popularity of these works suggests that, centuries before the Renaissance, there was a large circle of readers with a highly developed understanding of geometry and the visual language of architecture.

An accessible introduction to constructing and interpreting Bayesian models of perceptual decision-making and action.Many forms of perception and action can be mathematically modeled as probabilistic—or Bayesian—inference, a method used to draw conclusions from uncertain evidence. According to these models, the human mind behaves like a capable data scientist or crime scene investigator when dealing with noisy and ambiguous data. This textbook provides an approachable introduction to constructing and reasoning with probabilistic models of perceptual decision-making and action. Featuring extensive examples and illustrations, Bayesian Models of Perception and Action is the first textbook to teach this widely used computational framework to beginners.Introduces Bayesian models of perception and action, which are central to cognitive science and neuroscienceBeginner-friendly pedagogy includes intuitive examples, daily life illustrations, and gradual progression of complex conceptsBroad appeal for students across psychology, neuroscience, cognitive science, linguistics, and mathematicsWritten by leaders in the field of computational approaches to mind and brain

The first comprehensive textbook on regression modeling for linguistic data offers an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis.In the first comprehensive textbook on regression modeling for linguistic data in a frequentist framework, Morgan Sonderegger provides graduate students and researchers with an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis. The book features extensive treatment of mixed-effects regression models, the most widely used statistical method for analyzing linguistic data. Sonderegger begins with preliminaries to regression modeling: assumptions, inferential statistics, hypothesis testing, power, and other errors. He then covers regression models for non-clustered data: linear regression, model selection and validation, logistic regression, and applied topics such as contrast coding and nonlinear effects. The last three chapters discuss regression models for clustered data: linear and logistic mixed-effects models as well as model predictions, convergence, and model selection. The book’s focused scope and practical emphasis will equip readers to implement these methods and understand how they are used in current work.The only advanced discussion of modeling for linguistsUses R throughout, in practical examples using real datasetsExtensive treatment of mixed-effects regression modelsContains detailed, clear guidance on reporting modelsEqual emphasis on observational data and data from controlled experimentsSuitable for graduate students and researchers with computational interests across linguistics and cognitive science

An intimate foray into the invisible work that made it possible for pictures to circulate in print and online from the 1830s to the 2010s.Picture Research focuses on how pictures were saved, stored, and searched for in a time before scanners, servers, and search engines, and describes the dramatic difference it made when images became scannable, searchable, and distributable via the internet. While the camera, the darkroom, and the printed page are well-known sites of photographic production that have been replaced by cell phones, imaging software, and websites, the cultural intermediaries of mass-circulation photography—picture librarians and researchers, editors, and archivists—are less familiar. In this book, Nina Lager Vestberg artfully details the range of research skills, reproduction machinery, and communication infrastructures that was needed to make pictures available to a public before digitization.Drawing on documents and representations across a range of cultural expressions, Picture Research reveals the intermediation that has been performed by skilled workers in a variety of roles, making use of pre-photographic, photographic, and digital machineries of capture, accumulation, extraction, and transmission. Tracing a history of the modern pictorial economy from the pre-photographic 1830s to the post-digitized 2010s, it makes visible and explicit the invisible labor that has built—and still sustains—the visual commodity culture of everyday life.

"An in-depth look at the infrastructural landscape of Africa's 3rd wave urbanization, drawing on case studies from Africa and the US"--

"The book covers the fundamentals of safety engineering that includes general discussions of risk, ethics, and societal/policy implications. It also presents the historical and legal frameworks in which this field exists"--

"Presents a synthesis of specific properties of living organisms as they can be described by modern research in order to generate a coherent theory of life"--

"Portrait and interviews that will illustrate the whole story of dementia; not only fear, loss, and despair, but also the love, connection, dignity, and the powerful humanity that always remain"--

"Digital technologies are making the scarcities on which higher education is based disappear. Smith outlines how universities can take advantage of educational abundance to create a system that is more fair and just"--

"An upper-level undergrad and graduate level textbook, on the genetic basis of evolution, and is also a succinct reference for established scientists in biology, medicine, and computer science"--

Cryptography’s essential role in the functioning of the city, viewed against the backdrop of modern digital life.Cryptography is not new to the city; in fact, it is essential to its functioning. For as long as cities have existed, communications have circulated, often in full sight, but with their messages hidden. In Cryptographic City, Richard Coyne explains how cryptography runs deep within the structure of the city. He shows the extent to which cities are built on secrets, their foundations now reinforced by digital encryption and cryptocurrency platforms. He also uses cryptography as a lens through which to inspect smart cities and what they deliver. Coyne sets his investigation into the cryptographic city against the backdrop of the technologies, claims, and challenges of the smart city.Cryptography provides the means by which communications within and between citizens and devices are kept secure. Coyne shows how all of the smart city innovations—from smart toasters to public transportation networks—are enabled by secure financial transactions, data flows, media streaming, and communications made possible by encryption. Without encryption, he says, communications between people and digital devices would be exposed for anyone to see, hack, and misdirect. He explains the relevant technicalities of cryptography and describes the practical difference it makes to frame cities as cryptographic. Interwoven throughout the book are autobiographical anecdotes, insights from Coyne’s teaching practice, and historical reports, making it accessible to the general reader.

How the use of machine learning to analyze art images has revived formalism in art history, presenting a golden opportunity for art historians and computer scientists to learn from one another.Though formalism is an essential tool for art historians, much recent art history has focused on the social and political aspects of art. But now art historians are adopting machine learning methods to develop new ways to analyze the purely visual in datasets of art images. Amanda Wasielewski uses the term “computational formalism” to describe this use of machine learning and computer vision technique in art historical research. At the same time that art historians are analyzing art images in new ways, computer scientists are using art images for experiments in machine learning and computer vision. Their research, says Wasielewski, would be greatly enriched by the inclusion of humanistic issues.The main purpose in applying computational techniques such as machine learning to art datasets is to automate the process of categorization using metrics such as style, a historically fraught concept in art history. After examining a fifteen-year trajectory in image categorization and art dataset creation in the fields of machine learning and computer vision, Wasielewski considers deep learning techniques that both create and detect forgeries and fakes in art. She investigates examples of art historical analysis in the fields of computer and information sciences, placing this research in the context of art historiography. She also raises  questions as which artworks are chosen for digitization, and of those artworks that are born digital, which works gain acceptance into the canon of high art.

An in-depth look at Ukraine’s attempts to shape how it is perceived by the rest of the world.During times of crisis, competing narratives are often advanced to define what is happening, and the stakes of information management by nations are high.  In this timely book, Göran Bolin and Per Ståhlberg examine the fraught intersection of state politics, corporate business, and civil activism to understand the dynamics and importance of meaning management in Ukraine. Drawing on fieldwork inside the country, the authors discuss the forms, agents, and platforms within the complex political and communicative situation and how each articulated and acted upon perceptions of the propaganda threat.Bolin and Ståhlberg focus their analysis on the period between 2013 and 2022, when political tensions, commercial dynamics, and new communication technologies bred novel forms of information management. As they show, entities from governments and governmental administration to commercial actors, entrepreneurs, and activists formed new alliances in order to claim a stake in information policy. Bolin and Ståhlberg also explore how the various agents engaged in information management and strove to manage meaning in communication practice; the communicative tools they took advantage of; and the subsequent consequences for narrative constructions.

How prisoners serve as media laborers, while the prison serves as a testing ground for new media technologies.Prisons are not typically known for cutting-edge media technologies. Yet from photography in the nineteenth century to AI-enhanced tracking cameras today, there is a long history of prisons being used as a testing ground for technologies that are later adopted by the general public. If we recognize the prison as a central site for the development of media technologies, how might that change our understanding of both media systems and carceral systems? Prison Media foregrounds the ways in which the prison is a model space for the control and transmission of information, a place where media is produced, and a medium in its own right. Examining the relationship between media and prison architecture, as surveillance and communication technologies are literally built into the facilities, this study also considers the ways in which prisoners themselves often do hard labor as media workers—labor that contributes in direct and indirect ways to the latest technologies developed and sold by multinational corporations like Amazon. There is a fine line between ankle monitors and Fitbits, and Prison Media helps us make sense of today’s carceral society.

An argument for the centrality of rights in health security, and how to apply ethical principles to protecting those rights during public health crises.In recent years, efforts to respond to infectious diseases have been described in terms of national and global security, leading to the formation of the field of “health security.” In War on All Fronts, Nicholas G. Evans provides a novel theory of just health security and its relation to the practice of conventional public health. Using COVID-19 as a jumping-off point to examine wider issues, including how the US thinks about and prepares for pandemics, Evans shows the flaws in using the “war metaphor" and how any serious understanding of health security must square with human rights—even when a disease poses a threat to national security.      Evans asks what ethical principles justify declaring, and taking action during, a public health emergency such as the ongoing COVID-19 pandemic. The relevant principles, he argues, parallel those of the ethics of armed conflict. Just war theory, properly understood, begins with pacifism and a commitment to the right not to be killed and then steps back to ask under what limited conditions it is permissible to kill. In a similar way, a just health security must also begin with the idea that public health should hold human rights sacrosanct and then ask under what limited conditions other concerns might prevail. Evans’s overall goal is to formulate a guide to action, particularly as the world deals with the fallout of the COVID-19 pandemic. Turning to the transition from war back to peace in public health, he looks at reparation, rebuilding, and the accountability of actors during the crisis.

How a generation of tech-savvy young Cambodians is restoring historical media artifacts from before the war—and, in the process, helping to repair the Khmer Rouge’s cultural destruction.During the Khmer Rouge regime (1975–1979), an estimated quarter to a third of the Cambodian population perished from execution, starvation, or disease. The regime especially targeted artists and intellectuals and their work, including films, photographs, and audio recordings. In Media Ruins, Margaret Jack charts the critical role of media in the historical political landscape of Cambodia as well as in its post-conflict reconstruction and reconciliation. Along the way, Jack tells the remarkable stories of resourceful Cambodians in the decades that followed the end of the regime—those who worked to reconstruct their country’s media infrastructure and restore their damaged cultural heritage.Jack describes the crucial role that media has played in helping the nation grapple with the traumas of its past and imagine brighter futures. She explores how tech-savvy Cambodian media creators have engaged in practices of infrastructural restitution—work that is both emotionally cathartic and politically vital. She also examines the ways these media creators have used digital tools to restore and disseminate lost media artifacts, while embracing an aesthetic of material decay as a visible reminder of loss. As these creators reconcile with the past, they are also finding ways to navigate the country’s increasingly authoritarian media landscape. Bringing media and technology studies into conversation with trauma and memory studies, the book provides a unique, and necessary, perspective on post-conflict reconstruction.

An introduction to how neuroethology can inform the development of robots controlled by synaptic networks instead of algorithms, from a pioneer in biorobotics.The trait most fundamental to the evolution of animals is the capability to adapt to novel circumstances in unpredictable environments. Recent advances in biomimetics have made it feasible to construct robots modeled on such unsupervised autonomous behavior, and animal models provide a library of existence proofs. Filling an important gap in the field, this introductory textbook illuminates how neurobiological principles can inform the development of robots that are controlled by synaptic networks, as opposed to algorithms. Joseph Ayers provides a comprehensive overview of the sensory and motor systems of a variety of model biological systems and shows how their behaviors may be implemented in artificial systems, such as biomimetic robots.  Introduces the concept of biological intelligence as applied to robots, building a strategy for autonomy based on the neuroethology of simple animal modelsProvides a mechanistic physiological framework for the control of innate behaviorIllustrates how biomimetic vehicles can be operated in the field persistently and adaptivelyDeveloped by a pioneer in biorobotics with decades of teaching experienceProven in the classroom Suitable for professionals and researchers as well as undergraduate and graduate students in cognitive science and computer science

The first comprehensive guide to distributional reinforcement learning, providing a new mathematical formalism for thinking about decisions from a probabilistic perspective.Distributional reinforcement learning is a new mathematical formalism for thinking about decisions. Going beyond the common approach to reinforcement learning and expected values, it focuses on the total reward or return obtained as a consequence of an agent's choices—specifically, how this return behaves from a probabilistic perspective. In this first comprehensive guide to distributional reinforcement learning, Marc G. Bellemare, Will Dabney, and Mark Rowland, who spearheaded development of the field, present its key concepts and review some of its many applications. They demonstrate its power to account for many complex, interesting phenomena that arise from interactions with one's environment.The authors present core ideas from classical reinforcement learning to contextualize distributional topics and include mathematical proofs pertaining to major results discussed in the text. They guide the reader through a series of algorithmic and mathematical developments that, in turn, characterize, compute, estimate, and make decisions on the basis of the random return. Practitioners in disciplines as diverse as finance (risk management), computational neuroscience, computational psychiatry, psychology, macroeconomics, and robotics are already using distributional reinforcement learning, paving the way for its expanding applications in mathematical finance, engineering, and the life sciences. More than a mathematical approach, distributional reinforcement learning represents a new perspective on how intelligent agents make predictions and decisions.

How notions of progress, beauty, and cultural superiority structured the genre of nineteenth-century world histories of architecture—and shaped the discipline as we know it today.The nineteenth century saw the emergence of a new genre of architectural writing: the grand history of world architecture. This genre often expressed a deeply Eurocentric worldview, largely dismissing non-Western architecture through narratives of historical progress and stylistic beauty. Yet even as nineteenth-century historians worked to construct an exclusive architectural canon, they were engaged in constant debate over its categories and constraints. Narrating the Globe traces the emergence of this historical canon, exposing the questions and problems that prompted the canon’s very formation.Bringing together architectural historians from around the world, this collection of essays—the first comprehensive examination of the nineteenth-century architectural history survey as a literary genre—includes overviews of the origins and legacy of the global architecture survey genre, as well as close examinations of key works, including books by lesser-known but intriguing authors such as Louisa C. Tuthill, Christian L. Stieglitz, and Daniel Ramée, and the more famous surveys by James Fergusson, Franz Kugler, Banister Fletcher, and Auguste Choisy. Narrating the Globe is an illuminating read for anyone interested in architectural history’s long, complex, and often tendentious trajectory.

Interdisciplinary essays on music psychology that integrate scientific, humanistic, and artistic ways of knowing in transformative ways.Researchers using scientific methods and approaches to advance our understanding of music and musicality have not yet grappled with some of the perils that humanistic fields concentrating on music have long articulated. In this edited volume, established and emerging researchers—neuroscientists and cognitive scientists, musicians, historical musicologists, and ethnomusicologists—build bridges between humanistic and scientific approaches to music studies, particularly music psychology. Deftly edited by Elizabeth H. Margulis, Psyche Loui, and Deirdre Loughridge, The Science-Music Borderlands embodies how sustained interaction among disciplines can lead to a richer understanding of musical life.The essays in this volume provide the scientific study of music with its first major reckoning, exploring the intellectual history of the field and its central debates, while charting a path forward.The Science-Music Borderlands is essential reading for music scholars from any disciplinary background. It will also interest those working at the intersection of music and science, such as music teachers, performers, composers, and music therapists.Contributors:Manuel Anglada-Tort, Salwa El-Sawan Castelo-Branco, Hu Chuan-Peng, Laura K. Cirelli, Alexander W. Cowan, Jonathan De Souza, Diana Deutsch, Diandra Duengen, Sarah Faber, Steven Feld, Shinya Fujii, Assal Habibi, Erin. E. Hannon, Shantala Hegde, Beatriz Ilari, Jason Jabbour, Nori Jacoby, Haley E. Kragness, Grace Leslie, Casey Lew-Williams, Deirdre Loughridge, Psyche Loui, Diana Mangalagiu, Elizabeth H. Margulis, Randy McIntosh, Rita McNamara, Eduardo Reck Miranda, Daniel Müllensiefen, Rachel Mundy, Florence Ewomazino Nweke, Patricia Opondo, Aniruddh D. Patel, Andrea Ravignani, Carmel Raz, Matthew Sachs, Marianne Sarfati, Patrick E. Savage, Huib Schippers, Jim Sykes, Gary Tomlinson, Jamal Williams, Maria A. G. Witek, Pamela Z

How to understand the mistakes we make about those on the other side of the political spectrum—and how they drive the affective polarization that is tearing us apart.It’s well known that the political divide in the United States—particularly between Democrats and Republicans—has grown to alarming levels in recent decades. Affective polarization—emotional polarization, or the hostility between the parties—has reached an unprecedented fever pitch. In Undue Hate, Daniel F. Stone tackles the biases undergirding affective polarization head-on. Stone explains why we often develop objectively false, and overly negative, beliefs about the other side—causing us to dislike them more than we should.Approaching affective polarization through the lens of behavioral economics, Undue Hate is unique in its use of simple mathematical concepts and models to illustrate how we misjudge those we disagree with, for both political and nonpolitical issues. Stone argues that while our biases may vary, just about all of us unwisely exacerbate conflict at times—managing to make ourselves worse off in the long run. Finally, the book offers both short- and long-term solutions for tempering our bias and limiting its negative consequences—and, just maybe, finding a way back to understanding one another before it is too late.

A systematic theory of DIY electronic culture, drawn from a century of artists who have independently built creative technologies.Since the rise of Arduino and 3D printing in the mid-2000s, do-it-yourself approaches to the creative exploration of technology have surged in popularity. But the maker movement is not new: it is a historically significant practice in contemporary art and design. This book documents, tracks, and identifies a hundred years of innovative DIY technology practices, illustrating how the maker movement is a continuation of a long-standing creative electronic subculture. Through this comprehensive exploration, Garnet Hertz develops a theory and language of creative DIY electronics, drawing from diverse examples of contemporary art, including work from renowned electronic artists such as Nam June Paik and such art collectives as Survival Research Laboratories and the Barbie Liberation Front. Hertz uncovers the defining elements of electronic DIY culture, which often works with limited resources to bring new life to obsolete objects while engaging in a critical dialogue with consumer capitalism. Whether hacking blackboxed technologies or deploying culture jamming techniques to critique commercial labor practices or gender norms, the artists have found creative ways to make personal and political statements through creative technologies. The wide range of innovative works and practices profiled in Art + DIY Electronics form a general framework for DIY culture and help inspire readers to get creative with their own adaptations, fabrications, and reimaginations of everyday technologies.

A comprehensive theoretical and practical guide to the operating principles of knowledge auditing, illustrated with numerous case studies.A knowledge audit provides an “at a glance” view of an organization's needs and opportunities. Its purpose is to improve an organization's effectiveness through a better understanding of the dynamics and levers of knowledge production, access, and use. However, this developing field is hampered by the lack of a common language about the origins and nature of knowledge auditing. In Principles of Knowledge Auditing, Patrick Lambe integrates the theory and practices of the field, laying out principles and guidelines for a clearer and more pragmatic approach to knowledge auditing that makes it more accessible to practitioners and researchers.Lambe examines knowledge auditing in the context of the development of communications, information, and knowledge management in the twentieth century. He critiques and clarifies ambiguities in how knowledge audits are approached and described, as well as how the results are conveyed within organizations. He discusses the benefits and risks of knowledge management standards. Knowledge auditors, he says, need a common frame of reference more than they need standards. Standards have their uses, but they provide only markers and sign posts and are poor representations of the richness of the landscape. He concludes with a set of guiding principles for practitioners.

"A series of black-and-white photographs by Roswell Angier, paired with occasional paintings by his wife, the artist Susan Hawley, which explore the town of Gallup, New Mexico, shot largely over a three-year period in the 1980s"--

The first years of the company that developed the microchip and created the model for a successful Silicon Valley start-up.In the first three and a half years of its existence, Fairchild Semiconductor developed, produced, and marketed the device that would become the fundamental building block of the digital world: the microchip. Founded in 1957 by eight former employees of the Schockley Semiconductor Laboratory, Fairchild created the model for a successful Silicon Valley start-up: intense activity with a common goal, close collaboration, and a quick path to the market (Fairchild's first device hit the market just ten months after the company's founding). Fairchild Semiconductor was one of the first companies financed by venture capital, and its success inspired the establishment of venture capital firms in the San Francisco Bay area. These firms would finance the explosive growth of Silicon Valley over the next several decades. This history of the early years of Fairchild Semiconductor examines the technological, business, and social dynamics behind its innovative products. The centerpiece of the book is a collection of documents, reproduced in facsimile, including the company's first prospectus; ideas, sketches, and plans for the company's products; and a notebook kept by cofounder Jay Last that records problems, schedules, and tasks discussed at weekly meetings. A historical overview, interpretive essays, and an introduction to semiconductor technology in the period accompany these primary documents.

"A renowned German photographer combines portraits of and interviews with the world's leading scientists that look back at the personal experiences, successes and setbacks on their way to the very top"--