Abductive Reasoning

Author : Douglas Walton
Publisher : University of Alabama Press
ISBN 13 : 0817357823
Total Pages : 320 pages
Book Rating : 4.25/5 ( download)

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Download or read book Abductive Reasoning written by Douglas Walton and published by University of Alabama Press. This book was released on 2014-05-15 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: A study of the role of abductive inference in everyday argumentation and legal evidence Examines three areas in which abductive reasoning is especially important: medicine, science, and law. The reader is introduced to abduction and shown how it has evolved historically into the framework of conventional wisdom in logic. Discussions draw upon recent techniques used in artificial intelligence, particularly in the areas of multi-agent systems and plan recognition, to develop a dialogue model of explanation. Cases of causal explanations in law are analyzed using abductive reasoning, and all the components are finally brought together to build a new account of abductive reasoning. By clarifying the notion of abduction as a common and significant type of reasoning in everyday argumentation, Abductive Reasoning will be useful to scholars and students in many fields, including argumentation, computing and artificial intelligence, psychology and cognitive science, law, philosophy, linguistics, and speech communication and rhetoric.

Author : Atocha Aliseda
Publisher : Springer Science & Business Media
ISBN 13 : 1402039077
Total Pages : 246 pages
Book Rating : 4.72/5 ( download)

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Download or read book Abductive Reasoning written by Atocha Aliseda and published by Springer Science & Business Media. This book was released on 2006-02-16 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abductive Reasoning: Logical Investigations into Discovery and Explanation is a much awaited original contribution to the study of abductive reasoning, providing logical foundations and a rich sample of pertinent applications. Divided into three parts on the conceptual framework, the logical foundations, and the applications, this monograph takes the reader for a comprehensive and erudite tour through the taxonomy of abductive reasoning, via the logical workings of abductive inference ending with applications pertinent to scientific explanation, empirical progress, pragmatism and belief revision.

Author : L. Magnani
Publisher : Springer Science & Business Media
ISBN 13 : 144198562X
Total Pages : 205 pages
Book Rating : 4.20/5 ( download)

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Download or read book Abduction, Reason and Science written by L. Magnani and published by Springer Science & Business Media. This book was released on 2011-06-27 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book ties together the concerns of philosophers of science and AI researchers, showing for example the connections between scientific thinking and medical expert systems. It lays out a useful general framework for discussion of a variety of kinds of abduction. It develops important ideas about aspects of abductive reasoning that have been relatively neglected in cognitive science, including the use of visual and temporal representations and the role of abduction in the withdrawal of hypotheses.

Author : Dov M. Gabbay
Publisher : Springer Science & Business Media
ISBN 13 : 9780792365655
Total Pages : 456 pages
Book Rating : 4.58/5 ( download)

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Download or read book Abductive Reasoning and Learning written by Dov M. Gabbay and published by Springer Science & Business Media. This book was released on 2000-09-30 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains leading survey papers on the various aspects of Abduction, both logical and numerical approaches. Abduction is central to all areas of applied reasoning, including artificial intelligence, philosophy of science, machine learning, data mining and decision theory, as well as logic itself.

Author : P.A. Flach
Publisher : Springer Science & Business Media
ISBN 13 : 9401706069
Total Pages : 317 pages
Book Rating : 4.63/5 ( download)

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Download or read book Abduction and Induction written by P.A. Flach and published by Springer Science & Business Media. This book was released on 2013-04-18 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the very beginning of their investigation of human reasoning, philosophers have identified two other forms of reasoning, besides deduction, which we now call abduction and induction. Deduction is now fairly well understood, but abduction and induction have eluded a similar level of understanding. The papers collected here address the relationship between abduction and induction and their possible integration. The approach is sometimes philosophical, sometimes that of pure logic, and some papers adopt the more task-oriented approach of AI. The book will command the attention of philosophers, logicians, AI researchers and computer scientists in general.

Author : John R. Josephson
Publisher : Cambridge University Press
ISBN 13 : 9780521575454
Total Pages : 322 pages
Book Rating : 4.51/5 ( download)

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Download or read book Abductive Inference written by John R. Josephson and published by Cambridge University Press. This book was released on 1996-08-28 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book analyses abduction as an information-processing phenomenon.

Author : Yun Peng
Publisher : Springer Science & Business Media
ISBN 13 : 1441986820
Total Pages : 285 pages
Book Rating : 4.25/5 ( download)

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Download or read book Abductive Inference Models for Diagnostic Problem-Solving written by Yun Peng and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Making a diagnosis when something goes wrong with a natural or m- made system can be difficult. In many fields, such as medicine or electr- ics, a long training period and apprenticeship are required to become a skilled diagnostician. During this time a novice diagnostician is asked to assimilate a large amount of knowledge about the class of systems to be diagnosed. In contrast, the novice is not really taught how to reason with this knowledge in arriving at a conclusion or a diagnosis, except perhaps implicitly through ease examples. This would seem to indicate that many of the essential aspects of diagnostic reasoning are a type of intuiti- based, common sense reasoning. More precisely, diagnostic reasoning can be classified as a type of inf- ence known as abductive reasoning or abduction. Abduction is defined to be a process of generating a plausible explanation for a given set of obs- vations or facts. Although mentioned in Aristotle's work, the study of f- mal aspects of abduction did not really start until about a century ago.

Author : Lorenzo Magnani
Publisher : Springer Science & Business Media
ISBN 13 : 3642036317
Total Pages : 549 pages
Book Rating : 4.16/5 ( download)

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Download or read book Abductive Cognition written by Lorenzo Magnani and published by Springer Science & Business Media. This book was released on 2009-10-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume explores abductive cognition, an important but, at least until the third quarter of the last century, neglected topic in cognition. It aims at increasing knowledge about creative and expert inferences.

Author : Maria Luisa Dalla Chiara
Publisher : Springer Science & Business Media
ISBN 13 : 9401704872
Total Pages : 528 pages
Book Rating : 4.78/5 ( download)

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Download or read book Logic and Scientific Methods written by Maria Luisa Dalla Chiara and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first of two volumes comprising the papers submitted for publication by the invited participants to the Tenth International Congress of Logic, Methodology and Philosophy of Science, held in Florence, August 1995. The Congress was held under the auspices of the International Union of History and Philosophy of Science, Division of Logic, Methodology and Philosophy of Science. The invited lectures published in the two volumes demonstrate much of what goes on in the fields of the Congress and give the state of the art of current research. The two volumes cover the traditional subdisciplines of mathematical logic and philosophical logic, as well as their interfaces with computer science, linguistics and philosophy. Philosophy of science is broadly represented, too, including general issues of natural sciences, social sciences and humanities. The papers in Volume One are concerned with logic, mathematical logic, the philosophy of logic and mathematics, and computer science.

Author : Erik J. Larson
Publisher : Harvard University Press
ISBN 13 : 0674983513
Total Pages : 321 pages
Book Rating : 4.19/5 ( download)

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Download or read book The Myth of Artificial Intelligence written by Erik J. Larson and published by Harvard University Press. This book was released on 2021-04-06 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: “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.