Practical Inferences
Practical Inferences

Author: D S Clarke

Publisher: Taylor & Francis

Published: 2022-11-30

Total Pages: 188

ISBN-13: 1000797678

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First published in 1985, Practical Inferences describes how practical inferences are used. Starting with relatively simple inference patterns exhibited in everyday prudential decisions, the author extends a basic structural framework to the more complex inferences used in assessing probabilities, and finally to moral inferences. In this way what have been regarded as disparate activities are shown to exhibit fundamental similarities. The author argues that at all levels of decision-making the practical inferences used contain at least one premise expressing the desires or preferences of the agent. This is in opposition to the dominant view in Western philosophy that desires must be regulated or evaluated by means of principles of conduct discovered by rational procedures. By examining the premises implied by holders of this view, the author shows that they are inadequate bases for justifying practical decisions. This book will be of interest to students of philosophy, logic and mathematics.

Practical Inferences
Practical Inferences

Author: R.M. Hare

Publisher: Univ of California Press

Published: 2023-04-28

Total Pages: 128

ISBN-13: 0520328868

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This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1971.

Handbook of the Logic of Argument and Inference
Handbook of the Logic of Argument and Inference

Author: R.H. Johnson

Publisher: Elsevier

Published: 2002-09-11

Total Pages: 509

ISBN-13: 0080532918

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The Handbook of the Logic of Argument and Inference is an authoritative reference work in a single volume, designed for the attention of senior undergraduates, graduate students and researchers in all the leading research areas concerned with the logic of practical argument and inference. After an introductory chapter, the role of standard logics is surveyed in two chapters. These chapters can serve as a mini-course for interested readers, in deductive and inductive logic, or as a refresher. Then follow two chapters of criticism; one the internal critique and the other the empirical critique. The first deals with objections to standard logics (as theories of argument and inference) arising from the research programme in philosophical logic. The second canvasses criticisms arising from work in cognitive and experimental psychology. The next five chapters deal with developments in dialogue logic, interrogative logic, informal logic, probability logic and artificial intelligence. The last chapter surveys formal approaches to practical reasoning and anticipates possible future developments. Taken as a whole the Handbook is a single-volume indication of the present state of the logic of argument and inference at its conceptual and theoretical best. Future editions will periodically incorporate significant new developments.

Model Selection and Multimodel Inference
Model Selection and Multimodel Inference

Author: Kenneth P. Burnham

Publisher: Springer Science & Business Media

Published: 2007-05-28

Total Pages: 512

ISBN-13: 0387224564

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A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data.

Practical Shape
Practical Shape

Author: Jonathan Dancy

Publisher: Oxford University Press

Published: 2018-06-27

Total Pages: 217

ISBN-13: 0192528025

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Everyone allows that we can reason to a new belief from beliefs that we already have. Aristotle thought that we could also reason from beliefs to action. Practical Shape: A Theory of Practical Reasoning establishes this possibility of reasoning to action, in a way that allows also for reasoning to intention, hope, fear, and doubt. While many philosophers have found little sense in Aristotle's claim, Dancy offers a general theory of reasoning that is sensitive to current debates but still Aristotelian in spirit. The text clearly sets out the similarities between reasoning to action and reasoning to belief, which are far more striking than any dissimilarities. Its detailed account of practical reasoning, a topic inadequately covered in current literature, is presented in such a way as to be intelligible to a variety of readers, making it an ideal resource for students of philosophy but also of interest to academics in related disciplines.

The Wretched Stone
The Wretched Stone

Author: Chris Van Allsburg

Publisher: Houghton Mifflin Harcourt

Published: 1991

Total Pages: 40

ISBN-13: 9780395533079

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A strange glowing stone picked up on a sea voyage captivates a ship's crew and has a terrible transforming effect on them.

Argument and Inference
Argument and Inference

Author: Gregory Johnson

Publisher: MIT Press

Published: 2017-01-06

Total Pages: 283

ISBN-13: 0262337770

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A thorough and practical introduction to inductive logic with a focus on arguments and the rules used for making inductive inferences. This textbook offers a thorough and practical introduction to inductive logic. The book covers a range of different types of inferences with an emphasis throughout on representing them as arguments. This allows the reader to see that, although the rules and guidelines for making each type of inference differ, the purpose is always to generate a probable conclusion. After explaining the basic features of an argument and the different standards for evaluating arguments, the book covers inferences that do not require precise probabilities or the probability calculus: the induction by confirmation, inference to the best explanation, and Mill's methods. The second half of the book presents arguments that do require the probability calculus, first explaining the rules of probability, and then the proportional syllogism, inductive generalization, and Bayes' rule. Each chapter ends with practice problems and their solutions. Appendixes offer additional material on deductive logic, odds, expected value, and (very briefly) the foundations of probability. Argument and Inference can be used in critical thinking courses. It provides these courses with a coherent theme while covering the type of reasoning that is most often used in day-to-day life and in the natural, social, and medical sciences. Argument and Inference is also suitable for inductive logic and informal logic courses, as well as philosophy of sciences courses that need an introductory text on scientific and inductive methods.