Lectures on Inductive Logic PDF Download
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Author: Jon Williamson
Publisher: Oxford University Press
ISBN: 0199666474
Category : Mathematics
Languages : en
Pages : 217
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Book Description
Inductive logic is a theory of how one should reason in the face of uncertainty. It has applications to decision making and artificial intelligence, as well as to scientific problems.
Author: Jon Williamson
Publisher: Oxford University Press
ISBN: 0199666474
Category : Mathematics
Languages : en
Pages : 217
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Book Description
Inductive logic is a theory of how one should reason in the face of uncertainty. It has applications to decision making and artificial intelligence, as well as to scientific problems.
Author: Gregory Johnson
Publisher: MIT Press
ISBN: 0262337770
Category : Philosophy
Languages : en
Pages : 283
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Book Description
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.
Author: Marianne Talbot
Publisher: Createspace Independent Publishing Platform
ISBN: 9781512066029
Category :
Languages : en
Pages : 416
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Book Description
This book will help you to reason critically; to recognise, analyse and evaluate arguments and to classify them as inductive or deductive. It will introduce you to fallacies (bad arguments that look like good arguments) and, in two optional chapters, to the rudiments of formalisation. Linked to Marianne Talbot's hugely successful Critical Reasoning podcasts (downloaded 4 million times from iTunesU!), and full of interactive exercises and quizzes, the book was written to satisfy demand from fans of the podcasts. Marianne is the Director of Studies in Philosophy at Oxford University's Department for Continuing Education.
Author: Shahar Mendelson
Publisher: Springer Science & Business Media
ISBN: 3540005293
Category : Computers
Languages : en
Pages : 267
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Book Description
This book presents revised reviewed versions of lectures given during the Machine Learning Summer School held in Canberra, Australia, in February 2002. The lectures address the following key topics in algorithmic learning: statistical learning theory, kernel methods, boosting, reinforcement learning, theory learning, association rule learning, and learning linear classifier systems. Thus, the book is well balanced between classical topics and new approaches in machine learning. Advanced students and lecturers will find this book a coherent in-depth overview of this exciting area, while researchers will use this book as a valuable source of reference.
Author: Pedro Domingos
Publisher: Morgan & Claypool Publishers
ISBN: 1598296922
Category : Computers
Languages : en
Pages : 156
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Book Description
Most subfields of computer science have an interface layer via which applications communicate with the infrastructure, and this is key to their success (e.g., the Internet in networking, the relational model in databases, etc.). So far this interface layer has been missing in AI. First-order logic and probabilistic graphical models each have some of the necessary features, but a viable interface layer requires combining both. Markov logic is a powerful new language that accomplishes this by attaching weights to first-order formulas and treating them as templates for features of Markov random fields. Most statistical models in wide use are special cases of Markov logic, and first-order logic is its infinite-weight limit. Inference algorithms for Markov logic combine ideas from satisfiability, Markov chain Monte Carlo, belief propagation, and resolution. Learning algorithms make use of conditional likelihood, convex optimization, and inductive logic programming. Markov logic has been successfully applied to problems in information extraction and integration, natural language processing, robot mapping, social networks, computational biology, and others, and is the basis of the open-source Alchemy system.
Author: Bruno de Finetti
Publisher: Springer Science & Business Media
ISBN: 1402082010
Category : Science
Languages : en
Pages : 239
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Book Description
Bruno de Finetti (1906–1985) is the founder of the subjective interpretation of probability, together with the British philosopher Frank Plumpton Ramsey. His related notion of “exchangeability” revolutionized the statistical methodology. This book (based on a course held in 1979) explains in a language accessible also to non-mathematicians the fundamental tenets and implications of subjectivism, according to which the probability of any well specified fact F refers to the degree of belief actually held by someone, on the ground of her whole knowledge, on the truth of the assertion that F obtains.
Author: Ernst W. Mayr
Publisher: Springer Science & Business Media
ISBN: 9783540642015
Category : Computers
Languages : en
Pages : 370
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Book Description
This is a self-contained presentation of the enormous recent progress on the interplay between and applications of the theory of probabilistically checkable proofs and approximation algorithms.
Author: University of the State of New York
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 260
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Book Description
Author: University of the State of New York
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 260
Get Book Here
Book Description
Author: University of the State of New York
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 260
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Book Description
No. 104-117 contain also the Regents bulletins.
