Confirmation Theory, Confirmation Logic and Some Applications PDF Download

Author: Chao-Tien Lin
Publisher:
ISBN:
Category : Verification (Logic)
Languages : en
Pages : 247

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Author: Richard Swinburne
Publisher:
ISBN:
Category : Induction (Mathematics).
Languages : en
Pages : 234

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Author: Chao-tien Lin
Publisher:
ISBN:
Category : Verification (Logic)
Languages : en
Pages : 410

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Author: Grover Maxwell
Publisher: U of Minnesota Press
ISBN: 1452907773
Category : Science
Languages : en
Pages : 560

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Author: Stephen F. Barker
Publisher: Cornell University Press
ISBN: 1501741179
Category : Philosophy
Languages : en
Pages : 229

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No detailed description available for "Induction and Hypothesis".

Author: John Earman
Publisher: Bradford Books
ISBN: 9780262050463
Category : Psychology
Languages : en
Pages : 272

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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.

Author: Franz Huber
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Raymond E. Hartley
Publisher: Peter Lang Incorporated, International Academic Publishers
ISBN:
Category : Education
Languages : en
Pages : 428

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This work presents a cognitive and deterministic theory of learning and a related theory of performance. The authors assume that the organism is a logical system whose behavior is governed by its anticipation of the future, that this anticipation, called the «expectancy, » is the basic learning event, that the expectancy arises within a quasi-linguistic representational system, that the organism's confidence in the expectancy changes during learning, and that the strength of the expectancy in real organisms is subjective probability. Carnap's lambda-system of inductive logic is used as an approximation of subjective probability. Formulas from this framework are applied to conditioning, partial reinforcement, and other experimental data.

Author: Yogesh K. Dwivedi
Publisher: Springer Science & Business Media
ISBN: 1441961089
Category : Business & Economics
Languages : en
Pages : 515

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Book Description
The overall mission of this book is to provide a comprehensive understanding and coverage of the various theories and models used in IS research. Specifically, it aims to focus on the following key objectives: To describe the various theories and models applicable to studying IS/IT management issues. To outline and describe, for each of the various theories and models, independent and dependent constructs, reference discipline/originating area, originating author(s), seminal articles, level of analysis (i.e. firm, individual, industry) and links with other theories. To provide a critical review/meta-analysis of IS/IT management articles that have used a particular theory/model. To discuss how a theory can be used to better understand how information systems can be effectively deployed in today’s digital world. This book contributes to our understanding of a number of theories and models. The theoretical contribution of this book is that it analyzes and synthesizes the relevant literature in order to enhance knowledge of IS theories and models from various perspectives. To cater to the information needs of a diverse spectrum of readers, this book is structured into two volumes, with each volume further broken down into two sections. The first section of Volume 1 presents detailed descriptions of a set of theories centered around the IS lifecycle, including the Success Model, Technology Acceptance Model, User Resistance Theories, and four others. The second section of Volume 1 contains strategic and economic theories, including a Resource-Based View, Theory of Slack Resources, Portfolio Theory, Discrepancy Theory Models, and eleven others. The first section of Volume 2 concerns socio-psychological theories. These include Personal Construct Theory, Psychological Ownership, Transactive Memory, Language-Action Approach, and nine others. The second section of Volume 2 deals with methodological theories, including Critical Realism, Grounded Theory, Narrative Inquiry, Work System Method, and four others. Together, these theories provide a rich tapestry of knowledge around the use of theory in IS research. Since most of these theories are from contributing disciplines, they provide a window into the world of external thought leadership.

Author: S.Chakrabarti
Publisher: New Central Book Agency
ISBN: 9788173815652
Category :
Languages : en
Pages : 204

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