The Foundations of Science: Science and Hypothesis, The Value of Science, Science and Method

The Foundations of Science: Science and Hypothesis, The Value of Science, Science and Method PDF

Author: Henri Poincaré

Publisher: DigiCat

Published: 2022-08-01

Total Pages: 556

ISBN-13:

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DigiCat Publishing presents to you this special edition of "The Foundations of Science: Science and Hypothesis, The Value of Science, Science and Method" by Henri Poincaré. DigiCat Publishing considers every written word to be a legacy of humankind. Every DigiCat book has been carefully reproduced for republishing in a new modern format. The books are available in print, as well as ebooks. DigiCat hopes you will treat this work with the acknowledgment and passion it deserves as a classic of world literature.

The Foundations of Scientific Inference

The Foundations of Scientific Inference PDF

Author: Wesley Salmon

Publisher: University of Pittsburgh Pre

Published: 1967-09

Total Pages: 170

ISBN-13: 0822971259

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Not since Ernest Nagel’s 1939 monograph on the theory of probability has there been a comprehensive elementary survey of the philosophical problems of probablity and induction. This is an authoritative and up-to-date treatment of the subject, and yet it is relatively brief and nontechnical. Hume’s skeptical arguments regarding the justification of induction are taken as a point of departure, and a variety of traditional and contemporary ways of dealing with this problem are considered. The author then sets forth his own criteria of adequacy for interpretations of probability. Utilizing these criteria he analyzes contemporary theories of probability, as well as the older classical and subjective interpretations.

Foundations of Science Mathematics

Foundations of Science Mathematics PDF

Author: Deviderjit Singh Sivia

Publisher: OUP Oxford

Published: 1999-06-24

Total Pages: 98

ISBN-13: 9780198504283

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This text spans a large range of mathematics, from basic algebra to calculus and Fourier transforms. Its tutorial style bridges the gap between school and university while its conciseness provides a useful reference for the professional.

Building Foundations of Scientific Understanding

Building Foundations of Scientific Understanding PDF

Author: Bernard J. Nebel

Publisher:

Published: 2007-11

Total Pages: 0

ISBN-13: 9781432706104

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This is The most comprehensive science curriculum for beginning learners that you will find anywhere * Here are 41 lesson plans that cover all major areas of science. * Lessons are laid out as stepping stones that build knowledge and understanding logically and systematically. * Child-centered, hands-on activities at the core of all lessons bring children to observe, think, and reason. * Interest is maintained and learning is solidified by constantly connecting lessons with children's real-world experience * Skills of inquiry become habits of mind as they are used throughout. * Lessons integrate reading, writing, geography, and other subjects. * Standards, including developing a broader, supportive community of science learners come about as natural by-products of learning science in an organized way. Particular background or experience is not required. Instructions include guiding students to question, observe, think, interpret, and draw rational conclusions in addition to performing the activity. Teachers can learn along with their students and be exceptional role models in doing so. Need for special materials is minimized. Personal, on line, support is available free of charge (see front matter).

Foundations of Data Science

Foundations of Data Science PDF

Author: Avrim Blum

Publisher: Cambridge University Press

Published: 2020-01-23

Total Pages: 433

ISBN-13: 1108617360

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This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.

Science and the Good

Science and the Good PDF

Author: James Davison Hunter

Publisher: Yale University Press

Published: 2018-01-01

Total Pages: 307

ISBN-13: 0300196288

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Why efforts to create a scientific basis of morality are neither scientific nor moral In this illuminating book, James Davison Hunter and Paul Nedelisky trace the origins and development of the centuries-long, passionate, but ultimately failed quest to discover a scientific foundation for morality. The "new moral science" led by such figures as E. O. Wilson, Patricia Churchland, Sam Harris, Jonathan Haidt, and Joshua Greene is only the newest manifestation of that quest. Though claims for its accomplishments are often wildly exaggerated, this new iteration has been no more successful than its predecessors. But rather than giving up in the face of this failure, the new moral science has taken a surprising turn. Whereas earlier efforts sought to demonstrate what is right and wrong, the new moral scientists have concluded, ironically, that right and wrong don't actually exist. Their (perhaps unwitting) moral nihilism turns the science of morality into a social engineering project. If there is nothing moral for science to discover, the science of morality becomes, at best, a feeble program to achieve arbitrary societal goals. Concise and rigorously argued, Science and the Good is a definitive critique of a would-be science that has gained extraordinary influence in public discourse today and an exposé of that project's darker turn.

Studies in the Methodology and Foundations of Science

Studies in the Methodology and Foundations of Science PDF

Author: Patrick Suppes

Publisher: Springer Science & Business Media

Published: 2013-03-09

Total Pages: 481

ISBN-13: 940173173X

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The twenty-three papers collected in tbis volume represent an important part of my published work up to the date of this volume. I have not arranged the paper chronologically, but under four main headings. Part I contains five papers on methodology concerned with models and measurement in the sciences. This part also contains the first paper I published, 'A Set of Independent Axioms for Extensive Quantities', in Portugaliae Mathematica in 1951. Part 11 also is concerned with methodology and ineludes six papers on probability and utility. It is not always easy to separate papers on probability and utility from papers on measurement, because of the elose connection between the two subjects, but Artieles 6 and 8, even though they have elose relations to measurement, seem more properly to belong in Part 11, because they are concerned with substantive questions about probability and utility. The last two parts are concerned with the foundations of physics and the foundations of psychology. I have used the term foundations rather than philosophy, because the papers are mainly concerned with specific axiomatic formulations for particular parts of physics or of psychology, and it seems to me that the termfoundations more appropriately describes such constructive axiomatic ventures. Part 111 contains four papers on the foundations of physics. The first paper deals with foundations of special relativity and the last three with the role ofprobability in quantum mechanics.

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