Borges and Mathematics


Book Description

Borges and Mathematics is a short book of essays that explores the scientific thinking of the Argentine writer Jorge Luis Borges (1899-1986). Around half of the book consists of two "lectures" focused on mathematics. The rest of the book reflects on the relationship between literature, artistic creation, physics, and mathematics more generally. Written in a way that will be accessible even to those "who can only count to ten," the book presents a bravura demonstration of the intricate links between the worlds of sciences and arts, and it is a thought-provoking call to dialog for readers from both traditions. The author, Guillermo Mart nez, is both a recognized writer, whose murder mystery The Oxford Murders has been translated into thirty-five languages, and a PhD in mathematics. Contents: Borges and Mathematics: First Lecture; Borges and Mathematics: Second Lecture; The Golem and Artificial Intelligence; The Short Story as Logical System; A Margin Too Narrow; Euclid, or the Aesthetics of Mathematical Reasoning; Solutions and Disillusions; The Pythagorean Twins; The Music of Chance (Interview with Gregory Chaikin); Literature and Rationality; Who's Afraid of the Big Bad One?; A Small, Small God; God's Sinkhole. This book was originally published in Spanish as Borges y la matem tica (2003). It has been translated with generous support from the Latino Cultural Center at Purdue University.




The Myth of Artificial Intelligence


Book Description

“Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.




Borges and Memory


Book Description

A scientist's exploration of the working of memory begins with a story by Borges about a man who could not forget. Imagine the astonishment felt by neuroscientist Rodrigo Quian Quiroga when he found a fantastically precise interpretation of his research findings in a story written by the great Argentinian fabulist Jorge Luis Borges fifty years earlier. Quian Quiroga studies the workings of the brain—in particular how memory works—one of the most complex and elusive mysteries of science. He and his fellow neuroscientists have at their disposal sophisticated imaging equipment and access to information not available just twenty years ago. And yet Borges seemed to have imagined the gist of Quian Quiroga's discoveries decades before he made them. The title character of Borges's "Funes the Memorious" remembers everything in excruciatingly particular detail but is unable to grasp abstract ideas. Quian Quiroga found neurons in the human brain that respond to abstract concepts but ignore particular details, and, spurred by the way Borges imagined the consequences of remembering every detail but being incapable of abstraction, he began a search for the origins of Funes. Borges's widow, María Kodama, gave him access to her husband's personal library, and Borges's books led Quian Quiroga to reread earlier thinkers in philosophy and psychology. He found that just as Borges had perhaps dreamed the results of Quian Quiroga's discoveries, other thinkers—William James, Gustav Spiller, John Stuart Mill—had perhaps also dreamed a story like "Funes." With Borges and Memory, Quian Quiroga has given us a fascinating and accessible story about the workings of the brain that the great creator of Funes would appreciate.




Possible Worlds, Artificial Intelligence, and Narrative Theory


Book Description

In this important contribution to narrative theory, Marie-Laure Ryan applies insights from artificial intelligence and the theory of possible worlds to the study of narrative and fiction. For Ryan, the theory of possible worlds provides a more nuanced way of discussing the commonplace notion of a fictional "world," while artificial intelligence contributes to narratology and the theory of fiction directly via its researches into the congnitive processes of texts and automatic story generation. Although Ryan applies exotic theories to the study of narrative and to fiction, her book maintains a solid basis in literary theory and makes the formal models developed by AI researchers accessible to the student of literature. By combining the philosophical background of possible world theory with models inspired by AI, the book fulfills a pressing need in narratology for new paradigms and an interdisciplinary perspective.




Unravelling Complexity


Book Description

The revolutions that Gregory Chaitin brought within the fields of science are well known. From his discovery of algorithmic information complexity to his work on Gödel's theorem, he has contributed deeply and expansively to such diverse fields. This book attempts to bring together a collection of articles written by his colleagues, collaborators and friends to celebrate his work in a festschrift. It encompasses various aspects of the scientific work that Chaitin has accomplished over the years. Topics range from philosophy to biology, from foundations of mathematics to physics, from logic to computer science, and all other areas Chaitin has worked on. It also includes sketches of his personality with the help of biographical accounts in some unconventional articles that will provide a rare glimpse into the personal life and nature of Chaitin. Compared to the other books that exist along a similar vein, this book stands out primarily due to its highly interdisciplinary nature and its scope that will attract readers into Chaitin's world




Exploring the Intersection of Artificial Intelligence and Journalism


Book Description

This book studies the role of Artificial Intelligence (AI) in journalism. It traces the origin, growth and development of the media and communication industry in the globalized world and discusses the implications of technologies such as Augmented Reality, Virtual Reality and Extended Reality which have helped foster a communication revolution across the globe. The volume discusses technology-centric media theories in the context of AI and examines if AI has been a boon or bane for data journalism. It also looks at artificial intelligence in beat reporting, and citizen journalism, and analyses the social-cultural implications of artificial intelligence driven journalism and the ethical concerns arising from it. An important contribution, this book will be indispensable for students and researchers of media studies, communication studies, journalism, social media, technology studies, and digital humanities. It will also be useful for media professionals.




Cy-Borges


Book Description

"Cy-Borges provides radically new, "posthumanist" readings of such established Borgesian fictions as "The Aleph," "The Library of Babel," "Funes the Memorious," "The Garden of Forking Paths," and "The Circular Ruins." They will be equally illuminating to readers of Hispanic and world literature, as to students of critical and cultural theory, and anybody who is fascinated with the idea of the "posthuman" and "posthumanism.""--BOOK JACKET.




The Book of Sand


Book Description

Thirteen new stories by the celebrated writer, including two which he considers his greatest achievements to date, artfully blend elements from many literary geares.




Modeling Decisions for Artificial Intelligence


Book Description

This book constitutes the proceedings of the 14th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2017, held in Kitakyushu, Japan, in October 2017. The 18 revised full papers presented together with one invited paper and three abstracts of invited talks were carefully reviewed and selected from 30 submissions. Providing a forum for researchers to discuss models for decision and information fusion (aggregation operators) and their applications to AI, the papers are organized in topical sections on aggregation operators, fuzzy measures and integrals; clustering and classication; data privacy and security; data mining and applications.




New Laws of Robotics


Book Description

“Essential reading for all who have a vested interest in the rise of AI.” —Daryl Li, AI & Society “Thought-provoking...Explores how we can best try to ensure that robots work for us, rather than against us, and proposes a new set of laws to provide a conceptual framework for our thinking on the subject.” —Financial Times “Pasquale calls for a society-wide reengineering of policy, politics, economics, and labor relations to set technology on a more regulated and egalitarian path...Makes a good case for injecting more bureaucracy into our techno-dreams, if we really want to make the world a better place.” —Wired “Pasquale is one of the leading voices on the uneven and often unfair consequences of AI in our society...Every policymaker should read this book and seek his counsel.” —Safiya Noble, author of Algorithms of Oppression Too many CEOs tell a simple story about the future of work: if a machine can do what you do, your job will be automated, and you will be replaced. They envision everyone from doctors to soldiers rendered superfluous by ever-more-powerful AI. Another story is possible. In virtually every walk of life, robotic systems can make labor more valuable, not less. Frank Pasquale tells the story of nurses, teachers, designers, and others who partner with technologists, rather than meekly serving as data sources for their computerized replacements. This cooperation reveals the kind of technological advance that could bring us all better health care, education, and more, while maintaining meaningful work. These partnerships also show how law and regulation can promote prosperity for all, rather than a zero-sum race of humans against machines. Policymakers must not allow corporations or engineers alone to answer questions about how far AI should be entrusted to assume tasks once performed by humans, or about the optimal mix of robotic and human interaction. The kind of automation we get—and who benefits from it—will depend on myriad small decisions about how to develop AI. Pasquale proposes ways to democratize that decision-making, rather than centralize it in unaccountable firms. Sober yet optimistic, New Laws of Robotics offers an inspiring vision of technological progress, in which human capacities and expertise are the irreplaceable center of an inclusive economy.