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Economists offer rigorous quantitative analyses of how the institutional design and purpose of the WTO (and its progenitor, the GATT) affect economic development.

An argument that—despite dramatic advances in the field—artificial intelligence is nowhere near developing systems that are genuinely intelligent.In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere near developing systems that are genuinely intelligent. Second wave AI, machine learning, even visions of third-wave AI: none will lead to human-level intelligence and judgment, which have been honed over millennia. Recent advances in AI may be of epochal significance, but human intelligence is of a different order than even the most powerful calculative ability enabled by new computational capacities. Smith calls this AI ability "reckoning,” and argues that it does not lead to full human judgment—dispassionate, deliberative thought grounded in ethical commitment and responsible action.Taking judgment as the ultimate goal of intelligence, Smith examines the history of AI from its first-wave origins ("good old-fashioned AI,” or GOFAI) to such celebrated second-wave approaches as machine learning, paying particular attention to recent advances that have led to excitement, anxiety, and debate. He considers each AI technology's underlying assumptions, the conceptions of intelligence targeted at each stage, and the successes achieved so far. Smith unpacks the notion of intelligence itself—what sort humans have, and what sort AI aims at. Smith worries that, impressed by AI's reckoning prowess, we will shift our expectations of human intelligence. What we should do, he argues, is learn to use AI for the reckoning tasks at which it excels while we strengthen our commitment to judgment, ethics, and the world.

An argument that information exists at different levels of analysis—syntactic, semantic, and pragmatic—and an exploration of the implications.Although this is the Information Age, there is no universal agreement about what information really is. Different disciplines view information differently; engineers, computer scientists, economists, linguists, and philosophers all take varying and apparently disconnected approaches. In this book, Antonio Badia distinguishes four levels of analysis brought to bear on information: syntactic, semantic, pragmatic, and network-based. Badia explains each of these theoretical approaches in turn, discussing, among other topics, theories of Claude Shannon and Andrey Kolomogorov, Fred Dretske's description of information flow, and ideas on receiver impact and informational interactions. Badia argues that all these theories describe the same phenomena from different perspectives, each one narrower than the previous one. The syntactic approach is the more general one, but it fails to specify when information is meaningful to an agent, which is the focus of the semantic and pragmatic approaches. The network-based approach, meanwhile, provides a framework to understand information use among agents.Badia then explores the consequences of understanding information as existing at several levels. Humans live at the semantic and pragmatic level (and at the network level as a society), computers at the syntactic level. This sheds light on some recent issues, including "fake news” (computers cannot tell whether a statement is true or not, because truth is a semantic notion) and "algorithmic bias” (a pragmatic, not syntactic concern). Humans, not computers, the book argues, have the ability to solve these issues.

An advanced treatment of modern macroeconomics, presented through a sequence of dynamic equilibrium models, with discussion of the implications for monetary and fiscal policy.This textbook offers an advanced treatment of modern macroeconomics, presented through a sequence of dynamic general equilibrium models based on intertemporal optimization on the part of economic agents. The book treats macroeconomics as applied and policy-oriented general equilibrium analysis, examining a number of models, each of which is suitable for investigating specific issues but may be unsuitable for others.After presenting a brief survey of the evolution of macroeconomics and the key facts about long-run economic growth and aggregate fluctuations, the book introduces the main elements of the intertemporal approach through a series of two-period competitive general equilibrium models—the simplest possible intertemporal models. This sets the stage for the remainder of the book, which presents models of economic growth, aggregate fluctuations, and monetary and fiscal policy. The text focuses on a full analysis of a limited number of key intertemporal models, which are stripped down to essentials so that students can focus on the dynamic properties of the models. Exercises encourage students to try their hands at solving versions of the dynamic models that define modern macroeconomics. Appendixes review the main mathematical techniques needed to analyze optimizing dynamic macroeconomic models. The book is suitable for advanced undergraduate and graduate students who have some knowledge of economic theory and mathematics for economists.

An argument that theoretical works can signify through their materiality—their "noise,” or such nonsemantic elements as typography—as well as their semantic content.In Material Noise, Anne Royston argues that theoretical works signify through their materiality—such nonsemantic elements as typography or color—as well as their semantic content. Examining works by Jacques Derrida, Avital Ronell, Georges Bataille, and other well-known theorists, Royston considers their materiality and design—which she terms "noise”—as integral to their meaning. In other words, she reads these theoretical works as complex assemblages, just as she would read an artist's book in all its idiosyncratic tangibility.Royston explores the formlessness and heterogeneity of the Encyclopedia Da Costa, which published works by Bataille, André Breton, and others; the use of layout and white space in Derrida's Glas; the typographic illegibility—"static and interference”—in Ronell's The Telephone Book; and the enticing surfaces of Mark C. Taylor's Hiding, its digital counterpart The Réal: Las Vegas, NV, and Shelley Jackson's Skin. Royston then extends her analysis to other genres, examining two recent artists' books that express explicit theoretical concerns: Johanna Drucker's Stochastic Poetics and Susan Howe's Tom Tit Tot.Throughout, Royston develops the concept of artistic arguments, which employ signification that exceeds the semantics of a printed text and are not reducible to a series of linear logical propositions. Artistic arguments foreground their materiality and reflect on the media that create them. Moreover, Royston argues, each artistic argument anticipates some aspect of digital thinking, speaking directly to such contemporary concerns as hypertext, communication theory, networks, and digital distribution.

An in-depth exploration of a neglected video game platform of the 1990s and a reflection on the way we construct the cultural history of video games.In The Media Snatcher, Carl Therrien offers an in-depth exploration of NEC's PC Engine/TurboGrafx-16, a little-studied video game platform released in the late 1980s. The PC Engine was designed to bring technological expandability to the world of game consoles; The Media Snatcher's subtitle evokes some of the expansions and the numerous rebranded versions of the system released by NEC, including the first CD-ROM add-on in video game history. The platform makers hoped that expandability would allow its console to remain at the cutting edge and even catch up with such perceptually rich media as cinema and anime. More than a simple shape-shifter, the PC Engine became a media snatcher.Therrien examines the multidirectional interactions of video game technologies, commercial structures, and cultural dynamics. He considers, among other things, hyperbolic marketing and its impact on how we construct video game history; glitches, technological obsolescence, and the difficulty of conducting media archaeology of the recent past; the emergence of male-centered power fantasies through audiovisual rewards; the rise of original genres such as visual novels; and the sustained efforts to integrate PC Engine software in the sprawling media landscape of Japan (where the PC Engine found much of its success). Avoiding the usual techno-industrial glorification, Therrien recounts the bold technological aspirations of the platform makers and the struggles to make the actual technology realize its potential.

How to be a great online searcher, demonstrated with step-by-step searches for answers to a series of intriguing questions (for example, “Is that plant poisonous?”).We all know how to look up something online by typing words into a search engine. We do this so often that we have made the most famous search engine a verb: we Google it—“Japan population” or “Nobel Peace Prize” or “poison ivy” or whatever we want to know. But knowing how to Google something doesn't make us search experts; there's much more we can do to access the massive collective knowledge available online. In The Joy of Search, Daniel Russell shows us how to be great online researchers. We don't have to be computer geeks or a scholar searching out obscure facts; we just need to know some basic methods. Russell demonstrates these methods with step-by-step searches for answers to a series of intriguing questions—from “what is the wrong side of a towel?” to “what is the most likely way you will die?” Along the way, readers will discover essential tools for effective online searches—and learn some fascinating facts and interesting stories. Russell explains how to frame search queries so they will yield information and describes the best ways to use such resources as Google Earth, Google Scholar, Wikipedia, and Wikimedia. He shows when to put search terms in double quotes, how to use the operator (*), why metadata is important, and how to triangulate information from multiple sources. By the end of this engaging journey of discovering, readers will have the definitive answer to why the best online searches involve more than typing a few words into Google.

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques.This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation.The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.

An investigation of independent video games—creative, personal, strange, and experimental—and their claims to handcrafted authenticity in a purely digital medium.Video games are often dismissed as mere entertainment products created by faceless corporations. The last twenty years, however, have seen the rise of independent, or "indie,” video games: a wave of small, cheaply developed, experimental, and personal video games that react against mainstream video game development and culture. In Handmade Pixels, Jesper Juul examine the paradoxical claims of developers, players, and festivals that portray independent games as unique and hand-crafted objects in a globally distributed digital medium.Juul explains that independent video games are presented not as mass market products, but as cultural works created by people, and are promoted as authentic alternatives to mainstream games. Writing as a game player, scholar, developer, and educator, Juul tells the story of how independent games—creative, personal, strange, and experimental—became a historical movement that borrowed the term "independent” from film and music while finding its own kind of independence.Juul describes how the visual style of independent games signals their authenticity—often by referring to older video games or analog visual styles. He shows how developers use strategies for creating games with financial, aesthetic, and cultural independence; discusses the aesthetic innovations of "walking simulator” games; and explains the controversies over what is and what isn't a game. Juul offers examples from independent games ranging from Dys4ia to Firewatch; the text is richly illustrated with many color images.

An introductory text in linguistic semantics, uniquely balancing empirical coverage and formalism with development of intuition and methodology.This introductory textbook in linguistic semantics for undergraduates features a unique balance between empirical coverage and formalism on the one hand and development of intuition and methodology on the other. It will equip students to form intuitions about a set of data, explain how well an analysis of the data accords with their intuitions, and extend the analysis or seek an alternative. No prior knowledge of linguistics is required. After mastering the material, students will be able to tackle some of the most difficult questions in the field even if they have never taken a linguistics course before.After introducing such concepts as truth conditions and compositionality, the book presents a basic symbolic logic with negation, conjunction, and generalized quantifiers, to serve as the basis for translation throughout the book. It then develops a detailed compositional semantics, covering quantification (scope and binding), adverbial modification, relative clauses, event semantics, tense and aspect, as well as pragmatic phenomena, notably deictic pronouns and narrative progression.A Course in Semantics offers a large and diverse set of exercises, interspersed throughout the text; those labeled "Important practice and looking ahead” prepare students for material to come; those labeled "Thinking about ” invite students to think beyond the content of the book.

An analysis of patterns of convergent evolution on Earth that suggests where we might look for similar convergent forms on other planets.Why does a sea lily look like a palm tree? And why is a sea lily called a "lily” when it is a marine animal and not a plant? Many marine animals bear a noticeable similarity in form to land-dwelling plants. And yet these marine animal forms evolved in the oceans first; land plants independently and convergently evolved similar forms much later in geologic time. In this book, George McGhee analyzes patterns of convergent evolution on Earth and argues that these patterns offer lessons for the search for life elsewhere in the universe.Our Earth is a water world; 71 percent of the earth's surface is covered by water. The fossil record shows that multicellular life on dry land is a new phenomenon; for the vast majority of the earth's history—3,500 million years of its 4,560 million years of existence—complex life existed only in the oceans. Explaining that convergent biological evolution occurs because of limited evolutionary pathways, McGhee examines examples of convergent evolution in forms of feeding, immobility and mobility, defense, and organ systems. McGhee suggests that the patterns of convergent evolution that we see in our own water world indicate the potential for similar convergent forms in other water worlds. We should search for extraterrestrial life on water worlds, and for technological life on water worlds with continental landmasses.

Reclaiming the artist Ana Mendieta as a formally innovative maker of performative art who forged connections to the marginalized around the world.The artist Ana Mendieta (1948-1985) is remembered as the creator of powerful works expressing a vibrant and unflinching second-wave feminist sensibility. In Radical Virtuosity, art historian Genevieve Hyacinthe offers a new view of Mendieta, connecting her innovative artwork to the art, cultural aesthetics and concerns, feminisms, and sociopolitical messages of the black Atlantic. Mendieta left Cuba as a preteen, fleeing the Castro regime, and spent years in U.S. foster care. Her sense of exile, Hyacinthe argues, colors her work. Hyacinthe examines the development of Mendieta's performative artworks—particularly the Silueta series (1973-1985), which documented the silhouette of her body in the earth over time (a series "without end,” Mendieta said)—and argues that these works were shaped by Mendieta's appropriation and reimagining of Afro-Cuban ritual. Mendieta's effort to create works that invited audience participation, Hyacinthe says, signals her interest in forging connections with the marginalized, particularly those of the black Atlantic and Global South. Hyacinthe describes the "counter entropy” of Mendieta's small-scale earthworks (contrasting them with more massive works created by Robert Smithson and other male artists); considers the resonance of Mendieta's work with the contemporary practices of black Atlantic female artists including Wangechi Mutu, Renee Green, and Damali Abrams; and connects Mendieta's artistic and political expressions to black Atlantic feminisms of such popular artists as Princess Nokia. Mendieta's life and work are often overshadowed in popular perception by her early and tragic death—at thirty-six, she plunged from the window of the thirty-fourth floor Greenwich Village apartment she shared with her husband, the artist Carl Andre. (Andre was charged with her murder and acquitted.) Hyacinthe's account—profusely illustrated, with many images in color—reclaims Mendieta's work and legacy for its artistic significance.

An overview of statistical methods for analyzing data from fMRI experiments.

Writings by the conceptual artist Michael Asher—including notes, proposals, exhibition statements, and letters to curators and critics—most published here for the first time.The California conceptual artist Michael Asher (1943-2012) was known for rigorous site specificity and pioneering institutional critique. His decades of teaching at CalArts influenced generations of artists. Much of Asher's artistic practice was devoted to creating works that had no lasting material presence and often responded to the material, social, or ideological context of a situation. Because most of Asher's artworks have ceased to exist, his writings about them have special significance. Public Knowledge collects writings by Asher about his work—including preliminary notes and ideas, project proposals, exhibition statements, and letters to curators and critics—most of which have never been previously published. Asher gave few interviews, didn't write art criticism, and rarely published extensive accounts of his own work. Yet writing was central to his artistic practice, serving as a tool for working out ideas, negotiating institutional parameters, and describing thought processes. In these texts, he considers writing and documentation, discusses artistic practice, offers notes for gallery and museum talks, presents artist statements for exhibition-goers, describes individual works and their situational context, and reflects on teaching and art education. Among other things, Asher provides his definition of site specificity, addresses the function of art in public space, and analyzes the intersection of teaching art and institutional models of education. Readers will see an artist at work, formulating ethical and political strategies for making art in a situational world.

A completely updated and expanded comprehensive treatment of VHDL and its applications to the design and simulation of real, industry-standard circuits.This comprehensive treatment of VHDL and its applications to the design and simulation of real, industry-standard circuits has been completely updated and expanded for the third edition. New features include all VHDL-2008 constructs, an extensive review of digital circuits, RTL analysis, and an unequaled collection of VHDL examples and exercises. The book focuses on the use of VHDL rather than solely on the language, with an emphasis on design examples and laboratory exercises.The third edition begins with a detailed review of digital circuits (combinatorial, sequential, state machines, and FPGAs), thus providing a self-contained single reference for the teaching of digital circuit design with VHDL. In its coverage of VHDL-2008, it makes a clear distinction between VHDL for synthesis and VHDL for simulation. The text offers complete VHDL codes in examples as well as simulation results and comments. The significantly expanded examples and exercises include many not previously published, with multiple physical demonstrations meant to inspire and motivate students. The book is suitable for undergraduate and graduate students in VHDL and digital circuit design, and can be used as a professional reference for VHDL practitioners. It can also serve as a text for digital VLSI in-house or academic courses.

How we talk about games as real or not-real, and how that shapes what games are made and who is invited to play them.In videogame criticism, the worst insult might be "That's not a real game!” For example, "That's not a real game, it's on Facebook!” and "That's not a real game, it's a walking simulator!” But how do people judge what is a real game and what is not—what features establish a game's gameness? In this engaging book, Mia Consalvo and Christopher Paul examine the debates about the realness or not-realness of videogames and find that these discussions shape what games get made and who is invited to play them.Consalvo and Paul look at three main areas often viewed as determining a game's legitimacy: the game's pedigree (its developer), the content of the game itself, and the game's payment structure. They find, among other things, that even developers with a track record are viewed with suspicion if their games are on suspect platforms. They investigate game elements that are potentially troublesome for a game's gameness, including genres, visual aesthetics, platform, and perceived difficulty. And they explore payment models, particularly free-to-play—held by some to be a marker of illegitimacy. Finally, they examine the debate around such so-called walking simulators as Dear Esther and Gone Home. And finally, they consider what purpose is served by labeling certain games "real."

An examination of the cognitive tools that the mind uses to grapple with uncertainty in the real world.

Scholars from across law and internet and media studies examine the human rights implications of today's platform society.Today such companies as Apple, Facebook, Google, Microsoft, and Twitter play an increasingly important role in how users form and express opinions, encounter information, debate, disagree, mobilize, and maintain their privacy. What are the human rights implications of an online domain managed by privately owned platforms? According to the Guiding Principles on Business and Human Rights, adopted by the UN Human Right Council in 2011, businesses have a responsibility to respect human rights and to carry out human rights due diligence. But this goal is dependent on the willingness of states to encode such norms into business regulations and of companies to comply. In this volume, contributors from across law and internet and media studies examine the state of human rights in today's platform society.The contributors consider the "datafication” of society, including the economic model of data extraction and the conceptualization of privacy. They examine online advertising, content moderation, corporate storytelling around human rights, and other platform practices. Finally, they discuss the relationship between human rights law and private actors, addressing such issues as private companies' human rights responsibilities and content regulation.ContributorsAnja Bechmann, Fernando Bermejo, Agnès Callamard, Mikkel Flyverbom, Rikke Frank Jørgensen, Molly K. Land, Tarlach McGonagle, Jens-Erik Mai, Joris van Hoboken, Glen Whelan, Jillian C. York, Shoshana Zuboff, Ethan ZuckermanOpen access edition published with generous support from Knowledge Unlatched and the Danish Council for Independent Research.

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

A synthesis of biomechanics and neural control that draws on recent advances in robotics to address control problems solved by the human sensorimotor system.

The first comprehensive and detailed presentation of techniques for authenticating digital images.

A unified treatment of the generation and analysis of brain-generated electromagnetic fields.In Brain Signals, Risto Ilmoniemi and Jukka Sarvas present the basic physical and mathematical principles of magnetoencephalography (MEG) and electroencephalography (EEG), describing what kind of information is available in the neuroelectromagnetic field and how the measured MEG and EEG signals can be analyzed. Unlike most previous works on these topics, which have been collections of writings by different authors using different conventions, this book presents the material in a unified manner, providing the reader with a thorough understanding of basic principles and a firm basis for analyzing data generated by MEG and EEG.The book first provides a brief introduction to brain states and the early history of EEG and MEG, describes the generation of electromagnetic fields by neuronal activity, and discusses the electromagnetic forward problem. The authors then turn to EEG and MEG analysis, offering a review of linear and matrix algebra and basic statistics needed for analysis of the data, and presenting several analysis methods: dipole fitting; the minimum norm estimate (MNE); beamforming; the multiple signal classification algorithm (MUSIC), including RAP-MUSIC with the RAP dilemma and TRAP-MUSIC, which removes the RAP dilemma; independent component analysis (ICA); and blind source separation (BSS) with joint diagonalization.

A new approach to Hume's problem of induction that justifies the optimality of induction at the level of meta-induction.Hume's problem of justifying induction has been among epistemology's greatest challenges for centuries. In this book, Gerhard Schurz proposes a new approach to Hume's problem. Acknowledging the force of Hume's arguments against the possibility of a noncircular justification of the reliability of induction, Schurz demonstrates instead the possibility of a noncircular justification of the optimality of induction, or, more precisely, of meta-induction (the application of induction to competing prediction models). Drawing on discoveries in computational learning theory, Schurz demonstrates that a regret-based learning strategy, attractivity-weighted meta-induction, is predictively optimal in all possible worlds among all prediction methods accessible to the epistemic agent. Moreover, the a priori justification of meta-induction generates a noncircular a posteriori justification of object induction. Taken together, these two results provide a noncircular solution to Hume's problem.Schurz discusses the philosophical debate on the problem of induction, addressing all major attempts at a solution to Hume's problem and describing their shortcomings; presents a series of theorems, accompanied by a description of computer simulations illustrating the content of these theorems (with proofs presented in a mathematical appendix); and defends, refines, and applies core insights regarding the optimality of meta-induction, explaining applications in neighboring disciplines including forecasting sciences, cognitive science, social epistemology, and generalized evolution theory. Finally, Schurz generalizes the method of optimality-based justification to a new strategy of justification in epistemology, arguing that optimality justifications can avoid the problems of justificatory circularity and regress.

Essays on computer art and its relation to more traditional art, by a pioneering practitioner and a philosopher of artificial intelligence.In From Fingers to Digits, a practicing artist and a philosopher examine computer art and how it has been both accepted and rejected by the mainstream art world. In a series of essays, Margaret Boden, a philosopher and expert in artificial intelligence, and Ernest Edmonds, a pioneering and internationally recognized computer artist, grapple with key questions about the aesthetics of computer art. Other modern technologies—photography and film—have been accepted by critics as ways of doing art. Does the use of computers compromise computer art's aesthetic credentials in ways that the use of cameras does not? Is writing a computer program equivalent to painting with a brush?Essays by Boden identify types of computer art, describe the study of creativity in AI, and explore links between computer art and traditional views in philosophical aesthetics. Essays by Edmonds offer a practitioner's perspective, considering, among other things, how the experience of creating computer art compares to that of traditional art making. Finally, the book presents interviews in which contemporary computer artists offer a wide range of comments on the issues raised in Boden's and Edmonds's essays.

A thoroughly revised and updated edition of a textbook for graduate students in finance, with new coverage of global financial institutions.This thoroughly revised and updated edition of a widely used textbook for graduate students in finance now provides expanded coverage of global financial institutions, with detailed comparisons of U.S. systems with non-U.S. systems. A focus on the actual practices of financial institutions prepares students for real-world problems.After an introduction to financial markets and market participants, including asset management firms, credit rating agencies, and investment banking firms, the book covers risks and asset pricing, with a new overview of risk; the structure of interest rates and interest rate and credit risks; the fundamentals of primary and secondary markets; government debt markets, with new material on non-U.S. sovereign debt markets; corporate funding markets, with new coverage of small and medium enterprises and entrepreneurial ventures; residential and commercial real estate markets; collective investment vehicles, in a chapter new to this edition; and financial derivatives, including financial futures and options, interest rate derivatives, foreign exchange derivatives, and credit risk transfer vehicles such as credit default swaps. Each chapter begins with learning objectives and ends with bullet point takeaways and questions.

A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems.This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics. Figures, examples, and exercises convey the intuition behind the mathematical approaches. The text provides concrete implementations in the Julia programming language. Topics covered include derivatives and their generalization to multiple dimensions; local descent and first- and second-order methods that inform local descent; stochastic methods, which introduce randomness into the optimization process; linear constrained optimization, when both the objective function and the constraints are linear; surrogate models, probabilistic surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation; expression optimization; and multidisciplinary design optimization. Appendixes offer an introduction to the Julia language, test functions for evaluating algorithm performance, and mathematical concepts used in the derivation and analysis of the optimization methods discussed in the text. The book can be used by advanced undergraduates and graduate students in mathematics, statistics, computer science, any engineering field, (including electrical engineering and aerospace engineering), and operations research, and as a reference for professionals.

An introduction to awe-inspiring ideas at the brink of paradox: infinities of different sizes, time travel, probability and measure theory, and computability theory.This book introduces the reader to awe-inspiring issues at the intersection of philosophy and mathematics. It explores ideas at the brink of paradox: infinities of different sizes, time travel, probability and measure theory, computability theory, the Grandfather Paradox, Newcomb's Problem, the Principle of Countable Additivity. The goal is to present some exceptionally beautiful ideas in enough detail to enable readers to understand the ideas themselves (rather than watered-down approximations), but without supplying so much detail that they abandon the effort. The philosophical content requires a mind attuned to subtlety; the most demanding of the mathematical ideas require familiarity with college-level mathematics or mathematical proof.The book covers Cantor's revolutionary thinking about infinity, which leads to the result that some infinities are bigger than others; time travel and free will, decision theory, probability, and the Banach-Tarski Theorem, which states that it is possible to decompose a ball into a finite number of pieces and reassemble the pieces so as to get two balls that are each the same size as the original. Its investigation of computability theory leads to a proof of Gödel's Incompleteness Theorem, which yields the amazing result that arithmetic is so complex that no computer could be programmed to output every arithmetical truth and no falsehood. Each chapter is followed by an appendix with answers to exercises. A list of recommended reading points readers to more advanced discussions. The book is based on a popular course (and MOOC) taught by the author at MIT.

A new theory about the origins of consciousness that finds learning to be the driving force in the evolutionary transition to basic consciousness.What marked the evolutionary transition from organisms that lacked consciousness to those with consciousness—to minimal subjective experiencing, or, as Aristotle described it, "the sensitive soul”? In this book, Simona Ginsburg and Eva Jablonka propose a new theory about the origin of consciousness that finds learning to be the driving force in the transition to basic consciousness. Using a methodology similar to that used by scientists when they identified the transition from non-life to life, Ginsburg and Jablonka suggest a set of criteria, identify a marker for the transition to minimal consciousness, and explore the far-reaching biological, psychological, and philosophical implications.After presenting the historical, neurobiological, and philosophical foundations of their analysis, Ginsburg and Jablonka propose that the evolutionary marker of basic or minimal consciousness is a complex form of associative learning, which they term unlimited associative learning (UAL). UAL enables an organism to ascribe motivational value to a novel, compound, non-reflex-inducing stimulus or action, and use it as the basis for future learning. Associative learning, Ginsburg and Jablonka argue, drove the Cambrian explosion and its massive diversification of organisms. Finally, Ginsburg and Jablonka propose symbolic language as a similar type of marker for the evolutionary transition to human rationality—to Aristotle's "rational soul.”

An examination of how artists have combined performance and moving image for decades, anticipating our changing relation to images in the internet era.In Performing Image, Isobel Harbison examines how artists have combined performance and moving image in their work since the 1960s, and how this work anticipates our changing relations to images since the advent of smart phones and the spread of online prosumerism. Over this period, artists have used a variety of DIY modes of self-imaging and circulation—from home video to social media—suggesting how and why Western subjects might seek alternative platforms for self-expression and self-representation. In the course of her argument, Harbison offers close analyses of works by such artists as Robert Rauschenberg, Yvonne Rainer, Mark Leckey, Wu Tsang, and Martine Syms.Harbison argues that while we produce images, images also produce us—those that we take and share, those that we see and assimilate through mass media and social media, those that we encounter in museums and galleries. Although all the artists she examines express their relation to images uniquely, they also offer a vantage point on today's productive-consumptive image circuits in which billions of us are caught. This unregulated, all-encompassing image performativity, Harbison writes, puts us to work, for free, in the service of global corporate expansion. Harbison offers a three-part interpretive framework for understanding this new proximity to images as it is negotiated by these artworks, a detailed outline of a set of connected practices—and a declaration of the value of art in an economy of attention and a crisis of representation.