Bayesian Argumentation
Bayesian Argumentation

Author: Frank Zenker

Publisher: Springer Science & Business Media

Published: 2012-12-09

Total Pages: 216

ISBN-13: 9400753578

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Relevant to, and drawing from, a range of disciplines, the chapters in this collection show the diversity, and applicability, of research in Bayesian argumentation. Together, they form a challenge to philosophers versed in both the use and criticism of Bayesian models who have largely overlooked their potential in argumentation. Selected from contributions to a multidisciplinary workshop on the topic held in Sweden in 2010, the authors count linguists and social psychologists among their number, in addition to philosophers. They analyze material that includes real-life court cases, experimental research results, and the insights gained from computer models. The volume provides, for the first time, a formal measure of subjective argument strength and argument force, robust enough to allow advocates of opposing sides of an argument to agree on the relative strengths of their supporting reasoning. With papers from leading figures such as Michael Oaksford and Ulrike Hahn, the book comprises recent research conducted at the frontiers of Bayesian argumentation and provides a multitude of examples in which these formal tools can be applied to informal argument. It signals new and impending developments in philosophy, which has seen Bayesian models deployed in formal epistemology and philosophy of science, but has yet to explore the full potential of Bayesian models as a framework in argumentation. In doing so, this revealing anthology looks destined to become a standard teaching text in years to come.​

Bayesian Philosophy of Science
Bayesian Philosophy of Science

Author: Jan Sprenger

Publisher: Oxford University Press

Published: 2019-08-23

Total Pages: 384

ISBN-13: 0191652229

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How should we reason in science? Jan Sprenger and Stephan Hartmann offer a refreshing take on classical topics in philosophy of science, using a single key concept to explain and to elucidate manifold aspects of scientific reasoning. They present good arguments and good inferences as being characterized by their effect on our rational degrees of belief. Refuting the view that there is no place for subjective attitudes in 'objective science', Sprenger and Hartmann explain the value of convincing evidence in terms of a cycle of variations on the theme of representing rational degrees of belief by means of subjective probabilities (and changing them by Bayesian conditionalization). In doing so, they integrate Bayesian inference—the leading theory of rationality in social science—with the practice of 21st century science. Bayesian Philosophy of Science thereby shows how modeling such attitudes improves our understanding of causes, explanations, confirming evidence, and scientific models in general. It combines a scientifically minded and mathematically sophisticated approach with conceptual analysis and attention to methodological problems of modern science, especially in statistical inference, and is therefore a valuable resource for philosophers and scientific practitioners.

Bayesian Epistemology
Bayesian Epistemology

Author: Luc Bovens

Publisher: OUP Oxford

Published: 2004-01-08

Total Pages: 170

ISBN-13: 0191533521

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Probabilistic models have much to offer to philosophy. We continually receive information from a variety of sources: from our senses, from witnesses, from scientific instruments. When considering whether we should believe this information, we assess whether the sources are independent, how reliable they are, and how plausible and coherent the information is. Bovens and Hartmann provide a systematic Bayesian account of these features of reasoning. Simple Bayesian Networks allow us to model alternative assumptions about the nature of the information sources. Measurement of the coherence of information is a controversial matter: arguably, the more coherent a set of information is, the more confident we may be that its content is true, other things being equal. The authors offer a new treatment of coherence which respects this claim and shows its relevance to scientific theory choice. Bovens and Hartmann apply this methodology to a wide range of much discussed issues regarding evidence, testimony, scientific theories, and voting. Bayesian Epistemology is an essential tool for anyone working on probabilistic methods in philosophy, and has broad implications for many other disciplines.

Bayesian Rationality
Bayesian Rationality

Author: Mike Oaksford

Publisher: Oxford University Press

Published: 2007-02-22

Total Pages: 342

ISBN-13: 0198524498

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For almost 2,500 years, the Western concept of what is to be human has been dominated by the idea that the mind is the seat of reason - humans are, almost by definition, the rational animal. In this text a more radical suggestion for explaining these puzzling aspects of human reasoning is put forward.

Risk Assessment and Decision Analysis with Bayesian Networks
Risk Assessment and Decision Analysis with Bayesian Networks

Author: Norman Fenton

Publisher: CRC Press

Published: 2018-09-03

Total Pages: 661

ISBN-13: 1351978977

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Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields. This second edition includes new material on influence diagrams, learning from data, value of information, cybersecurity, debunking bad statistics, and much more. Focusing on practical real-world problem-solving and model building, as opposed to algorithms and theory, it explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide more powerful insights and better decision making than is possible from purely data-driven solutions. Features Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, forensics, cybersecurity and more Introduces all necessary mathematics, probability, and statistics as needed Establishes the basics of probability, risk, and building and using Bayesian network models, before going into the detailed applications A dedicated website contains exercises and worked solutions for all chapters along with numerous other resources. The AgenaRisk software contains a model library with executable versions of all of the models in the book. Lecture slides are freely available to accredited academic teachers adopting the book on their course.

Bayes Or Bust?
Bayes Or Bust?

Author: John Earman

Publisher: Bradford Books

Published: 1992

Total Pages: 272

ISBN-13: 9780262050463

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There is currently no viable alternative to the Bayesian analysis of scientific inference, yet the available versions of Bayesianism fail to do justice to several aspects of the testing and confirmation of scientific hypotheses. Bayes or Bust? provides the first balanced treatment of the complex set of issues involved in this nagging conundrum in the philosophy of science. Both Bayesians and anti-Bayesians will find a wealth of new insights on topics ranging from Bayes's original paper to contemporary formal learning theory. In a paper published posthumously in 1763, the Reverend Thomas Bayes made a seminal contribution to the understanding of "analogical or inductive reasoning." Building on his insights, modem Bayesians have developed an account of scientific inference that has attracted numerous champions as well as numerous detractors. Earman argues that Bayesianism provides the best hope for a comprehensive and unified account of scientific inference, yet the presently available versions of Bayesianisin fail to do justice to several aspects of the testing and confirming of scientific theories and hypotheses. By focusing on the need for a resolution to this impasse, Earman sharpens the issues on which a resolution turns. John Earman is Professor of History and Philosophy of Science at the University of Pittsburgh.

Argument Types and Fallacies in Legal Argumentation
Argument Types and Fallacies in Legal Argumentation

Author: Thomas Bustamante

Publisher: Springer

Published: 2015-04-07

Total Pages: 230

ISBN-13: 3319161482

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This book provides theoretical tools for evaluating the soundness of arguments in the context of legal argumentation. It deals with a number of general argument types and their particular use in legal argumentation. It provides detailed analyses of argument from authority, argument ad hominem, argument from ignorance, slippery slope argument and other general argument types. Each of these argument types can be used to construct arguments that are sound as well as arguments that are unsound. To evaluate an argument correctly one must be able to distinguish the sound instances of a certain argument type from its unsound instances. This book promotes the development of theoretical tools for this task.

Legal Knowledge and Information Systems
Legal Knowledge and Information Systems

Author: A. Rotolo

Publisher: IOS Press

Published: 2015-11-24

Total Pages: 212

ISBN-13: 1614996091

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Computer technology has become an essential part of all our lives, and the legal profession is no exception. For more than 25 years, the annual JURIX conference has provided an international forum for academics and practitioners working at the cutting edge of research into and the application of the interface between law and computer technologies. This book presents the proceedings of the 28th International Conference on Legal Knowledge and Information Systems (JURIX 2015), which took place in Braga, Portugal in December 2015. The book contains 14 full papers, nine short papers and nine posters delivered at the conference. These address a wide range of topics in legal informatics, and fall into three main subject areas: theory and foundations of AI and law, focusing on themes such as argumentation, reasoning, and evidence; technology of AI and law, which presents technological advancements and solutions; and applications of AI and law, describing implementations of AI and law technology in real world systems. The book offers an overview of the ways in which current information technology is relevant to the practice of law, and will be of interest to all those whose work involves legal theory, argumentation and practice.

The Handbook of Rationality
The Handbook of Rationality

Author: Markus Knauff

Publisher: MIT Press

Published: 2021-12-14

Total Pages: 879

ISBN-13: 026236185X

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The first reference on rationality that integrates accounts from psychology and philosophy, covering descriptive and normative theories from both disciplines. Both analytic philosophy and cognitive psychology have made dramatic advances in understanding rationality, but there has been little interaction between the disciplines. This volume offers the first integrated overview of the state of the art in the psychology and philosophy of rationality. Written by leading experts from both disciplines, The Handbook of Rationality covers the main normative and descriptive theories of rationality—how people ought to think, how they actually think, and why we often deviate from what we can call rational. It also offers insights from other fields such as artificial intelligence, economics, the social sciences, and cognitive neuroscience. The Handbook proposes a novel classification system for researchers in human rationality, and it creates new connections between rationality research in philosophy, psychology, and other disciplines. Following the basic distinction between theoretical and practical rationality, the book first considers the theoretical side, including normative and descriptive theories of logical, probabilistic, causal, and defeasible reasoning. It then turns to the practical side, discussing topics such as decision making, bounded rationality, game theory, deontic and legal reasoning, and the relation between rationality and morality. Finally, it covers topics that arise in both theoretical and practical rationality, including visual and spatial thinking, scientific rationality, how children learn to reason rationally, and the connection between intelligence and rationality.

International Handbook of Thinking and Reasoning
International Handbook of Thinking and Reasoning

Author: Linden J. Ball

Publisher: Routledge

Published: 2017-11-14

Total Pages: 1301

ISBN-13: 1317534751

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The Routledge International Handbook of Thinking and Reasoning is an authoritative reference work providing a balanced overview of current scholarship spanning the full breadth of the rapidly developing and expanding field of thinking and reasoning. It contains 35 chapters written by leading international researchers, covering foundational issues as well as state-of-the-art developments in thinking and reasoning research. Topics covered range across all sub-areas of thinking and reasoning, including deduction, induction, abduction, judgment, decision making, argumentation, problem solving, expertise, creativity and rationality. The contributors engage with cutting-edge debates such as the status of dual-process theories of thinking, the role of unconscious, intuitive, emotional and metacognitive processes in thinking, and the importance of probabilistic conceptualisations of thinking and reasoning. Authors also examine the importance of neuroscientific findings in informing theoretical developments, and explore the situated nature of thinking and reasoning across a range of real-world contexts such as mathematics, medicine and science. The Handbook provides a clear sense of the way in which contemporary ideas are challenging traditional viewpoints as "new paradigm of the psychology of reasoning" emerges. This paradigm-shifting research is paving the way toward a richer and more inclusive understanding of thinking and reasoning, where important new questions drive a forward-looking research agenda. It is essential reading for both established researchers in the field of thinking and reasoning as well as advanced students wishing to learn more about both the historical foundations and latest developments in this rapidly growing field.