A leading mind in the world of artificial intelligence answers the provocative question: “Can we introduce emotion into the computer?” Can we introduce emotion into the computer? David Gelernter, one of the leading lights in artificial intelligence today, begins The Muse in the Machine with this provocative question. In providing an answer, he not only points to a future revolution in computers, but radically changes our views of the human mind itself. Bringing together insights from computer science, cognitive psychology, philosophy of mind, and literary theory, David Gelernter presents what is sure to be a much debated view of how humans have thought, how we think today, and how computers will learn to think in the future.

Music, race, politics, and conscience. In these eight essays written over the span of a decade and a half, T. R. Hummer explains how, for him, such abiding concerns revolve around the practice of poetry and the evolution of a culturally responsible personal poetics. Hummer writes about the suicide of poet Vachel Lindsay, the culture wars at the National Endowment for the Arts, the 1991 Persian Gulf War, the divided soul of his native American South, and the salving, transcendent practice of musicianship. Inevitably entwined with a personal or cultural component, Hummer's criticism is thus grounded in experience that is always familiar and often straight to the heart in its rightness. In one of those statements of "poetic purpose" that goes hand in hand with a residency, guest editorship, or lecture tour, Hummer once wrote that "poetry inhabits and enunciates an incommensurable zone between individual and collective, between body and body politic, an area very ill-negotiated by most of us most of the time. Our culture, with its emphasis on the individual mind and body, teaches us very little about how even to think about the nature of this problem. . . . E pluribus unum is a smokescreen: what pluribus; what unum? And yet this phrase is an American mantra, as if it explained something." This is a quintessential Hummer moment: a writer has just given himself a good reason to quit. What Hummer knows must happen next is what The Muse in the Machine is all about.

In this engaging, accessible memoir, Charles Hartman shows how computer programming has helped him probe poetry's aesthetic possibilities. He discusses the nature of poetry itself and his experiences with primitive computer-generated poetry programs and — illustrated with sample computer-produced verses — traces the development of more advanced hardware and software. The central question about this cyber-partnership, Hartman says, "isn't exactly whether a poet or a computer writes the poem, but what kinds of collaboration might be interesting." He examines the effects of randomness, arbitrariness, and contingency on poetic composition, concluding that "the tidy dance among poet and text and reader creates a game of hesitation. In this game, a properly programmed computer has a chance to slip in some interesting moves."

"A writer who simply panders to the public is seldom taken for an artist. An artist who cannot publish is seldom granted a career. This dilemma, the subject of Muse in the Machine, has been home to many authors of serious fiction since the eighteenth century. But it is especially pointed for American writers, since the United States never fostered a sustainable elite culture readership. Its writers have always been reliant on mass publicity's machinery to survive; and when they depict that machinery, they also depict that reliance and the desire to transcend its banal formulas. This book looks at artist tales from Henry James to don DeLillo's Mao II, but also engages more indirect expressions of this tension between Romantic individualism and commercial requirements in Nathanael West, Vladimir Nabokov, and Thomas Pynchon. It covers the twentieth century, but its focus is not another rehearsal of "media theory" or word versus image. Rather, it aims to show how various novels "about" publicity culture also enact their authors' own dramas: how they both need and try to critique the "machine". In subject as well as approach, this study questions the current impasse between those who say that the aesthetic aspires to its own pure realm, and those who insist that it partakes of everyday practicality. Both sides are right; this book examines the consequences of that reality."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved

Everything you've always wanted to know about self-driving cars, Netflix recommendations, IBM's Watson, and video game-playing computer programs. The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM's Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these things work? In this book, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today's machines so smart. Gerrish outlines some of the key ideas that enable intelligent machines to perceive and interact with the world. He describes the software architecture that allows self-driving cars to stay on the road and to navigate crowded urban environments; the million-dollar Netflix competition for a better recommendation engine (which had an unexpected ending); and how programmers trained computers to perform certain behaviors by offering them treats, as if they were training a dog. He explains how artificial neural networks enable computers to perceive the world—and to play Atari video games better than humans. He explains Watson's famous victory on Jeopardy, and he looks at how computers play games, describing AlphaGo and Deep Blue, which beat reigning world champions at the strategy games of Go and chess. Computers have not yet mastered everything, however; Gerrish outlines the difficulties in creating intelligent agents that can successfully play video games like StarCraft that have evaded solution—at least for now. Gerrish weaves the stories behind these breakthroughs into the narrative, introducing readers to many of the researchers involved, and keeping technical details to a minimum. Science and technology buffs will find this book an essential guide to a future in which machines can outsmart people.

This is a story of how work gets done. It is also a study of how field service technicians talk about their work and how that talk is instrumental in their success. In his innovative ethnography, Julian E. Orr studies the people who repair photocopiers and shares vignettes from their daily lives. He characterizes their work as a continuous highly skilled improvisation within a triangular relationship of technician, customer, and machine. The work technicians do encompasses elements not contained in the official definition of the job yet vital to its success. Orr's analysis of the way repair people talk about their work reveals that talk is, in fact, a crucial dimension of their practice. Diagnosis happens through a narrative process, the creation of a coherent description of the troubled machine. The descriptions become the basis for technicians' discourse about their experience, and the circulation of stories among the technicians is the principal means by which they stay informed of the developing subtleties of machine behavior. Orr demonstrates that technical knowledge is a socially distributed resource stored and diffused primarily through an oral culture.Based on participant observation with copier repair technicians in the field and strengthened by Orr's own years as a technician, this book explodes numerous myths about technicians and suggests how technical work differs from other kinds of employment.

Nicholas Copeland sheds new light on rural politics in Guatemala and across neoliberal and post-conflict settings in The Democracy Development Machine. This historical ethnography examines how governmentalized spaces of democracy and development fell short, enabling and disfiguring an ethnic Mayan resurgence. In a passionate and politically engaged book, Copeland argues that the transition to democracy in Guatemalan Mayan communities has led to a troubling paradox. He finds that while liberal democracy is celebrated in most of the world as the ideal, it can subvert political desires and channel them into illiberal spaces. As a result, Copeland explores alternative ways of imagining liberal democracy and economic and social amelioration in a traumatized and highly unequal society as it strives to transition from war and authoritarian rule to open elections and free-market democracy.The Democracy Development Machine follows Guatemala's transition, reflects on Mayan involvement in politics during and after the conflict, and provides novel ways to link democratic development with economic and political development. Thanks to generous funding from Virginia Tech and its participation in TOME (Toward an Open Monograph Ecosystem), the ebook editions of this book are available as Open Access (OA) volumes from Cornell Open (cornellpress.cornell.edu/cornell-open) and other Open Access repositories.