Reliable Reasoning
Reliable Reasoning

Author: Gilbert Harman

Publisher: MIT Press

Published: 2012-01-13

Total Pages: 119

ISBN-13: 0262517345

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The implications for philosophy and cognitive science of developments in statistical learning theory. In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni—a philosopher and an engineer—argue that philosophy and cognitive science can benefit from statistical learning theory (SLT), the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors—a central topic in SLT. After discussing philosophical attempts to evade the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis (VC) dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT.

Reliable Reasoning
Reliable Reasoning

Author: Gilbert Harman

Publisher: MIT Press

Published: 2012-01-13

Total Pages: 119

ISBN-13: 0262263157

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The implications for philosophy and cognitive science of developments in statistical learning theory. In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni—a philosopher and an engineer—argue that philosophy and cognitive science can benefit from statistical learning theory (SLT), the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors—a central topic in SLT. After discussing philosophical attempts to evade the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis (VC) dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT.

Good Reasoning Matters!
Good Reasoning Matters!

Author: Leo Groarke

Publisher: Oxford University Press, USA

Published: 2008

Total Pages: 0

ISBN-13: 9780195425413

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Good Reasoning Matters uses an innovative approach to critical thinking by teaching students how to argue effectively rather than just point out the short comings of ineffective arguments.

Cognitive Reasoning
Cognitive Reasoning

Author: Oleg M. Anshakov

Publisher: Springer Science & Business Media

Published: 2010-03-11

Total Pages: 424

ISBN-13: 3540688757

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Dealing with uncertainty, moving from ignorance to knowledge, is the focus of cognitive processes. Understanding these processes and modelling, designing, and building artificial cognitive systems have long been challenging research problems. This book describes the theory and methodology of a new, scientifically well-founded general approach, and its realization in the form of intelligent systems applicable in disciplines ranging from social sciences, such as cognitive science and sociology, through natural sciences, such as life sciences and chemistry, to applied sciences, such as medicine, education, and engineering. The main subject developed in the book is cognitive reasoning investigated at three levels of abstraction: conceptual, formal, and realizational. The authors offer a model of a cognizing agent for the conceptual theory of cognitive reasoning, and they also present a logically well-founded formal cognitive reasoning framework to handle the various plausible reasoning methods. They conclude with an object model of a cognitive engine. The book is suitable for researchers, scientists, and graduate students working in the areas of artificial intelligence, mathematical logic, and philosophy.

Error and Inference
Error and Inference

Author: Deborah G. Mayo

Publisher: Cambridge University Press

Published: 2009-10-26

Total Pages: 491

ISBN-13: 1139485369

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Although both philosophers and scientists are interested in how to obtain reliable knowledge in the face of error, there is a gap between their perspectives that has been an obstacle to progress. By means of a series of exchanges between the editors and leaders from the philosophy of science, statistics and economics, this volume offers a cumulative introduction connecting problems of traditional philosophy of science to problems of inference in statistical and empirical modelling practice. Philosophers of science and scientific practitioners are challenged to reevaluate the assumptions of their own theories - philosophical or methodological. Practitioners may better appreciate the foundational issues around which their questions revolve and thereby become better 'applied philosophers'. Conversely, new avenues emerge for finally solving recalcitrant philosophical problems of induction, explanation and theory testing.

Reasoning
Reasoning

Author: Magdalena Balcerak Jackson

Publisher: Oxford University Press, USA

Published: 2019-05-02

Total Pages: 284

ISBN-13: 019879147X

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Philosophers have always recognized the value of reason, but the process of reasoning itself has only recently begun to emerge as a philosophical topic in its own right. Is reasoning a distinctive kind of mental process? If so, what is its nature? How does reasoning differ from merely freely associating thoughts? What is the relationship between reasoning about what to believe and reasoning about how to act? Is reasoning itself something you do, or something that happens to you? And what is the value of reasoning? Are there rules for good or correct reasoning and, if so, what are they like? Does good reasoning always lead to justified belief or rational action? Is there more than one way to reason correctly from your evidence? This volume comprises twelve new essays by leading researchers in the philosophy of reasoning that together address these questions and many more, and explore the connections between them.

How to Reason + Reasoning in the Sciences
How to Reason + Reasoning in the Sciences

Author: Richard L Epstein

Publisher: Advanced Reasoning Forum

Published: 2019-02-05

Total Pages: 244

ISBN-13: 1938421418

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Too often we're guided by what we last heard, by our friends' approval, by impulse—our desires, our fears. Without reflection. Without even stopping to think. ** In this book you'll learn how to reason and find your way better in life. You'll learn to see the consequences of what you and others say and do. You'll learn to see the assumptions that you and others make. You'll learn how to judge what you should believe. These are the skills we all need to make good decisions. ** Claims. Arguments. Fallacies. Analogies. Generalizing. Cause and Effect. Explanations. These are clearly set out with hundreds of examples from daily life showing how to use them. Illustrations using a cast of cartoon characters make the concepts memorable. And many exercises will help you to check your understanding. ** Truly a book for all—from high school to graduate school, from auto repair to managing a company. How to Reason will help you find a way in life that is clearer and not buffetted by the winds of nonsense and fear. ******* In Reasoning in the Sciences, you'll learn how to use your reasoning skills to understand how scientists make definitions, what an experiment is, what can go wrong with an experiment, how scientists reason with models and theories, what counts as a good explanation in science, and how to distinguish science from magic, religion, and fraud. No background in science is needed, just a healthy appetitite for learning.

Critical Thinking
Critical Thinking

Author: Jamie Carlin Watson

Publisher: Bloomsbury Publishing

Published: 2024-01-25

Total Pages: 498

ISBN-13: 1350232963

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'You shouldn't drink too much. The Earth is round. Milk is good for your bones.' Are any of these claims true? How can you tell? Can you ever be certain you are right? For anyone tackling philosophical logic for the first time, here is a practical guide to the skills required to think critically. From the basics of good reasoning to the difference between claims, evidence and arguments, Jamie Carlin Watson, Robert Arp and Skyler King cover the topics found in an introductory course. Now revised and fully updated, this 3rd edition gives you the chance to develop critical thinking skills that can be used in and out of the classroom. Two new chapters on reasoning in the age of conspiracy theories and fake news demonstrate how to apply reason and avoid being dissuaded by the persuasive power of evidence-free emoting. Features include a glossary, chapter goals, more student-friendly exercises, study questions, diagrams, and suggestions for further reading. Chapter topics, organised around real-life examples such as predicting the weather, a murder mystery and the Ouija board, cover: - the structure, formation, analysis and recognition of arguments - deductive validity and soundness - inductive strength and cogency - inference to the best explanation - truth tables - tools for argument assessment - informal and formal fallacies This entertaining and easy-to-follow introduction is a complete beginner's tool set to good reasoning, analyzing and arguing.

Logical Reasoning
Logical Reasoning

Author: Bradley Harris Dowden

Publisher: Bradley Dowden

Published: 1993

Total Pages: 516

ISBN-13: 9780534176884

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This book is designed to engage students' interest and promote their writing abilities while teaching them to think critically and creatively. Dowden takes an activist stance on critical thinking, asking students to create and revise arguments rather than simply recognizing and criticizing them. His book emphasizes inductive reasoning and the analysis of individual claims in the beginning, leaving deductive arguments for consideration later in the course.