Böcker utgivna av MIT Press

A remarkable time capsule of Simi Valley, 1979, written before the author would become one of LA’s most influential artists of subsequent decades.When Sean DeLear died prematurely in Vienna in 2017, his friends discovered—among other treasures—an extensive diary kept at the age of fourteen. Still living with his Christian parents in the notoriously racist Los Angeles suburb of Simi Valley, Sean wrote almost every day about crushes and hustling, waterbeds, blackmail, Donna Summer, gloryholes, racism, and shoplifting gay porn. DeLear would go on to become the frontman for the Los Angeles punk/powerpop band Glue. He was a punk musician, visual artist, intercontinental scenester, video vixen, party host, marijuana farmer, and sometime-collaborator of artists such as Kembra Pfahler and Vaginal Davis. DeLear’s forgotten diaries capture a moment in Los Angeles underground and queer history when, as his friend the writer Cesar Padilla notes, “It wasn’t cool at all to be trans, gay, queer or whatever. Those words weren’t even in the vocabulary.” I Could Not Believe It, Padilla continues, “is a raw fearless innocent gay Black kid’s journey coming out into life at an incredible pre-AIDS period. It’s not cognizant of being literature. It’s as naïve and forthcoming as it gets. It wasn’t written with the desire to be published so Sean didn’t hold back. Sean’s goal was to be true to himself.”

Assessing the influence of scientific advice in societies that increasingly question scientific authority and expertise.Today, scientific advice is asked for (and given) on questions ranging from stem-cell research to genetically modified food. And yet it often seems that the more urgently scientific advice is solicited, the more vigorously scientific authority is questioned by policy makers, stakeholders, and citizens. This book examines a paradox: how scientific advice can be influential in society even when the status of science and scientists seems to be at a low ebb. The authors do this by means of an ethnographic study of the creation of scientific authority at one of the key sites for the interaction of science, policy, and society: the scientific advisory committee. The Paradox of Scientific Authority offers a detailed analysis of the inner workings of the influential Health Council of the Netherlands (the equivalent of the National Academy of Science in the United States), examining its societal role as well as its internal functioning, and using the findings to build a theory of scientific advising. The question of scientific authority has political as well as scholarly relevance. Democratic political institutions, largely developed in the nineteenth century, lack the institutional means to address the twenty-first century's pervasively scientific and technological culture; and science and technology studies (STS) grapples with the central question of how to understand the authority of science while recognizing its socially constructed nature.

From one of the earliest feminist science fiction writers, a novel that envisions the fall of civilization—and the plight of the modern woman in a post-apocalyptic wilderness.When war breaks out in Europe, British civilization collapses overnight. The ironically named protagonist must learn to survive by his wits in a new Britain. When we first meet Savage, he is a complacent civil servant, primarily concerned with romancing his girlfriend. During the brief war, in which both sides use population displacement as a terrible strategic weapon, Savage must battle his fellow countrymen. He shacks up with an ignorant young woman in a forest hut—a kind of inverse Garden of Eden, where no one is happy. Eventually, he sets off in search of other survivors . . . only to discover a primitive society where science and technology have come to be regarded with superstitious awe and terror. A pioneering feminist, Hamilton offers a warning about the degraded state of modern women, who—being “unhandy, unresourceful, superficial”—would suffer a particularly sad fate in a postapocalyptic social order.

"The first English translation of key texts by Georges Bataille pertaining to The Accursed Share that also map out his transition from "dissident surrealist" to systematic thinker"--

Experts report on the latest research on extending access to financial services to the 2.5 billion adults around the world who lack it.

How MIT's first nine presidents helped transform the Institute from a small technical school into a major research university.

This warm, anecdotal biography by the Greens' longtime friend, MIT geologist Robert Shrock reveals the human impulses that led to their success, the unique combination of the analytical and the personal that they brought to their business decisions and to their investments in humanity's future.

The computer analogy of the mind has been as widely adopted in contemporary cognitive neuroscience as was the analogy of the brain as a collection of organs in phrenology. Just as the phrenologist would insist that each organ must have its particular function, so contemporary cognitive neuroscience is committed to the notion that each brain region must have its fundamental computation. In After Phrenology, Michael Anderson argues that to achieve a fully post-phrenological science of the brain, we need to reassess this commitment and devise an alternate, neuroscientifically grounded taxonomy of mental function. Anderson contends that the cognitive roles played by each region of the brain are highly various, reflecting different neural partnerships established under different circumstances. He proposes quantifying the functional properties of neural assemblies in terms of their dispositional tendencies rather than their computational or information-processing operations. Exploring larger-scale issues, and drawing on evidence from embodied cognition, Anderson develops a picture of thinking rooted in the exploitation and extension of our early-evolving capacity for iterated interaction with the world. He argues that the multidimensional approach to the brain he describes offers a much better fit for these findings, and a more promising road toward a unified science of minded organisms.

Because 'The Structure of the Japanese Language' is both descriptive and analytical, it will prove useful both as a basic handbook of supplementary reading for second-year or more advanced courses in Japanese.

How Brazilian postwar avant-garde artists updated modernism in a way that was radically at odds with European and North American art historical narratives.

The transformations of the Strip--from the fake Wild West to neon signs twenty stories high to "starchitecture"--and how they mirror America itself.

A study of the philosophical implications of evolutionary psychology, suggesting that knowledge is a set of natural kinds housed in the modules of a massively modular mind.In Reconstructing Reason and Representation, Murray Clarke offers a detailed study of the philosophical implications of evolutionary psychology. In doing so, he offers new solutions to key problems in epistemology and philosophy of mind, including misrepresentation and rationality. He proposes a naturalistic approach to reason and representation that is informed by evolutionary psychology, and, expanding on the massive modularity thesis advanced in work by Leda Cosmides and John Tooby, argues for a modular, adapticist account of misrepresentation and knowledge. Just as the reliability of representation can be defended on the basis of an account of the proper function of cognitive modularity, misrepresentation can be explained through an appeal to the "gap theory," by noting the divergence between the proper and actual domains of cognitive modules in a massively modular mind. Clarke argues for an externalist, modular reliabilism by suggesting that evolution has equipped us with generally reliable inferential systems even if they do not always produce true beliefs. He argues that reliable deductive and inductive inference occurs only when cognitive modules deal with actual domains that are sufficiently similar to their proper domains. This psychologically informed, naturalized adapticism leads to the suggestion that knowledge is a set of natural kinds housed in the modules of a massively modular mind. Typically, the proper function of these cognitive modules is to provide us with truths that enable us to satisfy our basic biological needs. Beyond reasoning modules, other cognitive modules discussed include the ability to orient ourselves in space, and our abilities with language, numbers, object reasoning, and social understanding. Clarke also defends Cosmides and Tooby's massive modularity hypothesis against such critics as Jerry Fodor by demonstrating that these critics consistently misrepresent Cosmides and Tooby's position.

The first volume of the Brandeis University Summer Institute lecture series of 1970 on theories of interacting elementary particles, consisting of four sets of lectures.

The first volume contains several classic papers, including the many contributions to the theory of distortions in the 1960s, which laid the foundations of the postwar theory of commercial policy.

Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications.Handling inherent uncertainty and exploiting compositional structure are fundamental to understanding and designing large-scale systems. Statistical relational learning builds on ideas from probability theory and statistics to address uncertainty while incorporating tools from logic, databases and programming languages to represent structure. In Introduction to Statistical Relational Learning, leading researchers in this emerging area of machine learning describe current formalisms, models, and algorithms that enable effective and robust reasoning about richly structured systems and data. The early chapters provide tutorials for material used in later chapters, offering introductions to representation, inference and learning in graphical models, and logic. The book then describes object-oriented approaches, including probabilistic relational models, relational Markov networks, and probabilistic entity-relationship models as well as logic-based formalisms including Bayesian logic programs, Markov logic, and stochastic logic programs. Later chapters discuss such topics as probabilistic models with unknown objects, relational dependency networks, reinforcement learning in relational domains, and information extraction. By presenting a variety of approaches, the book highlights commonalities and clarifies important differences among proposed approaches and, along the way, identifies important representational and algorithmic issues. Numerous applications are provided throughout.

This new anthology will serve as an ideal introduction to phenomenology for analytic philosophers, both as a text and as the single most useful source book on Husserl for cognitive scientists.

The task of archiving was once entrusted only to museums, libraries, and other institutions that acted as repositories of culture in material form. But with the rise of digital networked media, a multitude of self-designated archivists -- fans, pirates, hackers -- have become practitioners of cultural preservation on the Internet. These nonprofessional archivists have democratized cultural memory, building freely accessible online archives of whatever content they consider suitable for digital preservation. In Rogue Archives, Abigail De Kosnik examines the practice of archiving in the transition from print to digital media, looking in particular at Internet fan fiction archives.De Kosnik explains that media users today regard all of mass culture as an archive, from which they can redeploy content for their own creations. Hence, "remix culture" and fan fiction are core genres of digital cultural production. De Kosnik explores, among other things, the anticanonical archiving styles of Internet preservationists; the volunteer labor of online archiving; how fan archives serve women and queer users as cultural resources; archivists' efforts to attract racially and sexually diverse content; and how digital archives adhere to the logics of performance more than the logics of print. She also considers the similarities and differences among free culture, free software, and fan communities, and uses digital humanities tools to quantify and visualize the size, user base, and rate of growth of several online fan archives.

The second volume presents essays that have opened up new areas of analysis in the theory of international trade and in the associated fields of public finance and developmental economics.

This comprehensive collection of twenty-nine readings covers artificial intelligence from its historical roots to current research directions and practice. With its helpful critique of the selections, extensive bibliography, and clear presentation of the material, Computation and Intelligence will be a useful adjunct to any course in AI as well as a handy reference for professionals in the field. The book is divided into five parts. The first part contains papers that present or discuss foundational ideas linking computation and intelligence, typified by A. M. Turing's "Computing Machinery and Intelligence". The second part, Knowledge Representation, presents a sampling of the numerous representational schemes - by Newell, Minsky, Collins and Quillian, Winograd, Schank, Hayes, Holland, McClelland, Rumelhart, Hinton, and Brooks. The third part, Weak Method Problem Solving, focuses on the research and design of syntax based problem solvers, including the most famous of these, the Logic Theorist and GPS. The fourth part, Reasoning in Complex and Dynamic Environments, presents a broad spectrum of the AI communities' research in knowledge-intensive problem solving, from McCarthy's early design of systems with "common sense" to model based reasoning. The two concluding selections, by Marvin Minsky and by Herbert Simon, respectively, present the recent thoughts of two of AI's pioneers who revisit the concepts and controversies that have developed during the evolution of the tools and techniques that make up the current practice of artificial intelligence.