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Author | : P.A. Flach |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2010-12-15 |
Genre | : Mathematics |
ISBN | : 9789048154333 |
Download Abduction and Induction Book in PDF, ePub and Kindle
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 | : Dov M. Gabbay |
Publisher | : Springer Science & Business Media |
Total Pages | : 456 |
Release | : 2000-09-30 |
Genre | : Computers |
ISBN | : 9780792365655 |
Download Abductive Reasoning and Learning Book in PDF, ePub and Kindle
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 | : Douglas Walton |
Publisher | : University of Alabama Press |
Total Pages | : 320 |
Release | : 2014-05-15 |
Genre | : Language Arts & Disciplines |
ISBN | : 0817357823 |
Download Abductive Reasoning Book in PDF, ePub and Kindle
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 |
Total Pages | : 246 |
Release | : 2006-02-16 |
Genre | : Philosophy |
ISBN | : 1402039077 |
Download Abductive Reasoning Book in PDF, ePub and Kindle
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 | : Fouad Sabry |
Publisher | : One Billion Knowledgeable |
Total Pages | : 214 |
Release | : 2023-06-26 |
Genre | : Computers |
ISBN | : |
Download Abductive Reasoning Book in PDF, ePub and Kindle
What Is Abductive Reasoning In abductive reasoning, one makes a series of observations and then draws the conclusion that is both the simplest and the one that is most likely to follow from those facts. Beginning in the latter third of the 19th century, the American philosopher Charles Sanders Peirce was the one who initially conceived of and advocated for this idea. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Abductive reasoning Chapter 2: Charles Sanders Peirce Chapter 3: Scientific method Chapter 4: Propositional calculus Chapter 5: Modus ponens Chapter 6: Modus tollens Chapter 7: Statistical inference Chapter 8: Inference Chapter 9: Abductive logic programming Chapter 10: Working hypothesis (II) Answering the public top questions about abductive reasoning. (III) Real world examples for the usage of abductive reasoning in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of abductive reasoning' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of abductive reasoning.
Author | : Dov M. Gabbay |
Publisher | : Springer Science & Business Media |
Total Pages | : 446 |
Release | : 2013-04-17 |
Genre | : Mathematics |
ISBN | : 9401717338 |
Download Abductive Reasoning and Learning Book in PDF, ePub and Kindle
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 | : John R. Shook |
Publisher | : Springer Nature |
Total Pages | : 298 |
Release | : 2021-05-29 |
Genre | : Philosophy |
ISBN | : 3030617734 |
Download Abduction in Cognition and Action Book in PDF, ePub and Kindle
This book gathers together novel essays on the state-of-the-art research into the logic and practice of abduction. In many ways, abduction has become established and essential to several fields, such as logic, cognitive science, artificial intelligence, philosophy of science, and methodology. In recent years this interest in abduction’s many aspects and functions has accelerated. There are evidently several different interpretations and uses for abduction. Many fundamental questions on abduction remain open. How is abduction manifested in human cognition and intelligence? What kinds or types of abduction can be discerned? What is the role for abduction in inquiry and mathematical discovery? The chapters aim at providing answer to these and other current questions. Their contributors have been at the forefront of discussions on abduction, and offer here their updated approaches to the issues that they consider central to abduction’s contemporary relevance. The book is an essential reading for any scholar or professional keeping up with disciplines impacted by the study of abductive reasoning, and its novel development and applications in various fields.
Author | : L. Magnani |
Publisher | : Springer Science & Business Media |
Total Pages | : 376 |
Release | : 2002-09-30 |
Genre | : Mathematics |
ISBN | : 9781402007910 |
Download Logical and Computational Aspects of Model-Based Reasoning Book in PDF, ePub and Kindle
Information technology has been, in recent years, under increasing commercial pressure to provide devices and systems which help/ replace the human in his daily activity. This pressure requires the use of logic as the underlying foundational workhorse of the area. New logics were developed as the need arose and new foci and balance has evolved within logic itself. One aspect of these new trends in logic is the rising impor tance of model based reasoning. Logics have become more and more tailored to applications and their reasoning has become more and more application dependent. In fact, some years ago, I myself coined the phrase "direct deductive reasoning in application areas", advocating the methodology of model-based reasoning in the strongest possible terms. Certainly my discipline of Labelled Deductive Systems allows to bring "pieces" of the application areas as "labels" into the logic. I therefore heartily welcome this important book to Volume 25 of the Applied Logic Series and see it as an important contribution in our overall coverage of applied logic.
Author | : Erik J. Larson |
Publisher | : Harvard University Press |
Total Pages | : 321 |
Release | : 2021-04-06 |
Genre | : Computers |
ISBN | : 0674983513 |
Download The Myth of Artificial Intelligence Book in PDF, ePub and Kindle
“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.
Author | : Lorenzo Magnani |
Publisher | : Springer Science & Business Media |
Total Pages | : 664 |
Release | : 2010-08-30 |
Genre | : Computers |
ISBN | : 3642152228 |
Download Model-Based Reasoning in Science and Technology Book in PDF, ePub and Kindle
Systematically presented to enhance the feasibility of fuzzy models, this book introduces the novel concept of a fuzzy network whose nodes are rule bases and their interconnections are interactions between rule bases in the form of outputs fed as inputs.