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The Design Inference


The Design Inference
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The Design Inference


The Design Inference
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Author : William Dembski
language : en
Publisher:
Release Date : 2023-10-24

The Design Inference written by William Dembski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-24 with categories.


A groundbreaking work on the scientific basis of detecting intelligent design in nature.



The Design Inference


The Design Inference
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Author : William A. Dembski
language : en
Publisher: Cambridge University Press
Release Date : 1998-09-13

The Design Inference written by William A. Dembski and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-09-13 with Mathematics categories.


This book presents a reliable method for detecting intelligent causes: the design inference.The design inference uncovers intelligent causes by isolating the key trademark of intelligent causes: specified events of small probability. Design inferences can be found in a range of scientific pursuits from forensic science to research into the origins of life to the search for extraterrestrial intelligence. This challenging and provocative book shows how incomplete undirected causes are for science and breathes new life into classical design arguments. It will be read with particular interest by philosophers of science and religion, other philosophers concerned with epistemology and logic, probability and complexity theorists, and statisticians.



Intelligent Design


Intelligent Design
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Author : William A. Dembski
language : en
Publisher: InterVarsity Press
Release Date : 2002-07-12

Intelligent Design written by William A. Dembski and has been published by InterVarsity Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-07-12 with Religion categories.


In this book William A. Dembski brilliantly argues that intelligent design provides a crucial link between science and theology. This is a pivotal work from a thinker whom Phillip Johnson calls "one of the most important of the `design' theorists."



The Design Inference


The Design Inference
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Author : William A Dembski
language : en
Publisher:
Release Date : 2014-05-14

The Design Inference written by William A Dembski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with categories.


This 1998 book breathes new life into classical design arguments, showing how incomplete undirected causes are for science.



Principles Of Methodology


Principles Of Methodology
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Author : Perri 6
language : en
Publisher: SAGE
Release Date : 2011-10-31

Principles Of Methodology written by Perri 6 and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-31 with Social Science categories.


This book provides a comprehensive, accessible guide to social science methodology. In so doing, it establishes methodology as distinct from both methods and philosophy. Most existing textbooks deal with methods, or sound ways of collecting and analysing data to generate findings. In contrast, this innovative book shows how an understanding of methodology allows us to design research so that findings can be used to answer interesting research questions and to build and test theories. Most important things in social research (e.g., beliefs, institutions, interests, practices and social classes) cannot be observed directly. This book explains how empirical research can nevertheless be designed to make sound inferences about their nature, effects and significance. The authors examine what counts as good description, explanation and interpretation, and how they can be achieved by striking intelligent trade-offs between competing design virtues. Coverage includes: * why methodology matters; * what philosophical arguments show us about inference; * competing virtues of good research design; * purposes of theory, models and frameworks; * forming researchable concepts and typologies; * explaining and interpreting: inferring causation, meaning and significance; and * combining explanation and interpretation. The book is essential reading for new researchers faced with the practical challenge of designing research. Extensive examples and exercises are provided, based on the authors' long experience of teaching methodology to multi-disciplinary groups. Perri 6 is Professor of Social Policy in the Graduate School in the College of Business, Law and Social Sciences at Nottingham Trent University. Chris Bellamy is Emeritus Professor of Public Administration in the Graduate School, Nottingham Trent University.



Encyclopedia Of Research Design


Encyclopedia Of Research Design
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Author : Neil J. Salkind
language : en
Publisher: SAGE
Release Date : 2010-06-22

Encyclopedia Of Research Design written by Neil J. Salkind and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-22 with Philosophy categories.


"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases."--Publisher's description.



Information Theory Inference And Learning Algorithms


Information Theory Inference And Learning Algorithms
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Author : David J. C. MacKay
language : en
Publisher: Cambridge University Press
Release Date : 2003-09-25

Information Theory Inference And Learning Algorithms written by David J. C. MacKay and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-09-25 with Computers categories.


Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.



No Free Lunch


No Free Lunch
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Author : William A. Dembski
language : en
Publisher: Bloomsbury Publishing PLC
Release Date : 2006-11

No Free Lunch written by William A. Dembski and has been published by Bloomsbury Publishing PLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11 with Philosophy categories.


Darwin's greatest accomplishment was to show how life might be explained as the result of natural selection. But does Darwin's theory mean that life was unintended? William A. Dembski argues that it does not. In this book Dembski extends his theory of intelligent design. Building on his earlier work in The Design Inference (Cambridge, 1998), he defends that life must be the product of intelligent design. Critics of Dembski's work have argued that evolutionary algorithms show that life can be explained apart from intelligence. But by employing powerful recent results from the No Free Lunch Theory, Dembski addresses and decisively refutes such claims. As the leading proponent of intelligent design, Dembski reveals a designer capable of originating the complexity and specificity found throughout the cosmos. Scientists and theologians alike will find this book of interest as it brings the question of creation firmly into the realm of scientific debate.



Active Inference


Active Inference
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Author : Thomas Parr
language : en
Publisher: MIT Press
Release Date : 2022-03-29

Active Inference written by Thomas Parr and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-29 with Science categories.


The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines. Active inference is a way of understanding sentient behavior—a theory that characterizes perception, planning, and action in terms of probabilistic inference. Developed by theoretical neuroscientist Karl Friston over years of groundbreaking research, active inference provides an integrated perspective on brain, cognition, and behavior that is increasingly used across multiple disciplines including neuroscience, psychology, and philosophy. Active inference puts the action into perception. This book offers the first comprehensive treatment of active inference, covering theory, applications, and cognitive domains. Active inference is a “first principles” approach to understanding behavior and the brain, framed in terms of a single imperative to minimize free energy. The book emphasizes the implications of the free energy principle for understanding how the brain works. It first introduces active inference both conceptually and formally, contextualizing it within current theories of cognition. It then provides specific examples of computational models that use active inference to explain such cognitive phenomena as perception, attention, memory, and planning.



Causal Inference


Causal Inference
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Author : Scott Cunningham
language : en
Publisher: Yale University Press
Release Date : 2021-01-26

Causal Inference written by Scott Cunningham and has been published by Yale University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-26 with Business & Economics categories.


An accessible, contemporary introduction to the methods for determining cause and effect in the Social Sciences “Causation versus correlation has been the basis of arguments—economic and otherwise—since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It’s rare that a book prompts readers to expand their outlook; this one did for me.”—Marvin Young (Young MC) Causal inference encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied—for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages.