The Logic of Chance
The Logic of Chance

Author: Eugene V. Koonin

Publisher: FT Press

Published: 2011-06-23

Total Pages: 530

ISBN-13: 013262317X

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The Logic of Chance offers a reappraisal and a new synthesis of theories, concepts, and hypotheses on the key aspects of the evolution of life on earth in light of comparative genomics and systems biology. The author presents many specific examples from systems and comparative genomic analysis to begin to build a new, much more detailed, complex, and realistic picture of evolution. The book examines a broad range of topics in evolutionary biology including the inadequacy of natural selection and adaptation as the only or even the main mode of evolution; the key role of horizontal gene transfer in evolution and the consequent overhaul of the Tree of Life concept; the central, underappreciated evolutionary importance of viruses; the origin of eukaryotes as a result of endosymbiosis; the concomitant origin of cells and viruses on the primordial earth; universal dependences between genomic and molecular-phenomic variables; and the evolving landscape of constraints that shape the evolution of genomes and molecular phenomes. "Koonin's account of viral and pre-eukaryotic evolution is undoubtedly up-to-date. His "mega views" of evolution (given what was said above) and his cosmological musings, on the other hand, are interesting reading." Summing Up: Recommended Reprinted with permission from CHOICE, copyright by the American Library Association.

The Logic Of Chance
The Logic Of Chance

Author: John Venn

Publisher: Legare Street Press

Published: 2022-10-27

Total Pages: 0

ISBN-13: 9781015943124

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This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Chance, Logic And Intuition: An Introduction To The Counter-intuitive Logic Of Chance
Chance, Logic And Intuition: An Introduction To The Counter-intuitive Logic Of Chance

Author: Steven Tijms

Publisher: World Scientific

Published: 2021-02-18

Total Pages: 254

ISBN-13: 9811229201

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Chance rules our daily lives in many different ways. From the outcomes of the lottery to the outcomes of medical tests, from the basketball court to the court of law. The ways of chance are capricious. Bizarre things happen all the time. Nevertheless, chance has a logic of its own. It obeys the rules of probability. But if you open a standard book on probability, you may very well feel far removed from everyday life. Abstract formulas and mathematical symbols stare back at you with almost every turn of the page.This book introduces you to the logic of chance without the use of mathematical formulas or symbols. In Part One, you will meet the fascinating pioneers of the mathematics of probability, including Galileo Galilei and Blaise Pascal. Their stories will introduce you, step by step, to the basics of probability. In Part Two, various examples in all areas of daily life will show you how chance defies our expectations time and again. But armed with the basic rules of probability and a good dose of inventiveness, you will be able to unravel the counter-intuitive logic of chance.

Creativity in Science
Creativity in Science

Author: Dean Keith Simonton

Publisher: Cambridge University Press

Published: 2004-05-03

Total Pages: 236

ISBN-13: 9780521543699

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Psychologists, sociologists, philosophers, historians - and even scientists themselves - have often tried to decipher the basis for creativity in science. Some have attributed creativity to a special logic, the so-called scientific method, whereas others have pointed to the inspirations of genius or to the inevitable workings of the zeitgeist. Finally, some have viewed scientific breakthroughs as the product of chance, as witnessed in the numerous episodes of serendipity. Too often these four alternative interpretations are seen as mutually exclusive. Yet the central thesis of this book is that the chance, logic, genius, and zeitgeist perspectives can be integrated into a single coherent theory of creativity in science. But for this integration to succeed, change must be elevated to the status of primary cause. Logic, genius and the zeitgeist still have significant roles to play but mainly operate insofar as they enhance, or constrain the operation of a chance combinatorial process.

An Elementary Introduction to the Theory of Probability
An Elementary Introduction to the Theory of Probability

Author: Boris Vladimirovich Gnedenko

Publisher: Courier Corporation

Published: 1962-01-01

Total Pages: 162

ISBN-13: 0486601552

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This compact volume equips the reader with all the facts and principles essential to a fundamental understanding of the theory of probability. It is an introduction, no more: throughout the book the authors discuss the theory of probability for situations having only a finite number of possibilities, and the mathematics employed is held to the elementary level. But within its purposely restricted range it is extremely thorough, well organized, and absolutely authoritative. It is the only English translation of the latest revised Russian edition; and it is the only current translation on the market that has been checked and approved by Gnedenko himself. After explaining in simple terms the meaning of the concept of probability and the means by which an event is declared to be in practice, impossible, the authors take up the processes involved in the calculation of probabilities. They survey the rules for addition and multiplication of probabilities, the concept of conditional probability, the formula for total probability, Bayes's formula, Bernoulli's scheme and theorem, the concepts of random variables, insufficiency of the mean value for the characterization of a random variable, methods of measuring the variance of a random variable, theorems on the standard deviation, the Chebyshev inequality, normal laws of distribution, distribution curves, properties of normal distribution curves, and related topics. The book is unique in that, while there are several high school and college textbooks available on this subject, there is no other popular treatment for the layman that contains quite the same material presented with the same degree of clarity and authenticity. Anyone who desires a fundamental grasp of this increasingly important subject cannot do better than to start with this book. New preface for Dover edition by B. V. Gnedenko.

Evidence and Evolution
Evidence and Evolution

Author: Elliott Sober

Publisher: Cambridge University Press

Published: 2008-03-27

Total Pages: 413

ISBN-13: 1139470116

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How should the concept of evidence be understood? And how does the concept of evidence apply to the controversy about creationism as well as to work in evolutionary biology about natural selection and common ancestry? In this rich and wide-ranging book, Elliott Sober investigates general questions about probability and evidence and shows how the answers he develops to those questions apply to the specifics of evolutionary biology. Drawing on a set of fascinating examples, he analyzes whether claims about intelligent design are untestable; whether they are discredited by the fact that many adaptations are imperfect; how evidence bears on whether present species trace back to common ancestors; how hypotheses about natural selection can be tested, and many other issues. His book will interest all readers who want to understand philosophical questions about evidence and evolution, as they arise both in Darwin's work and in contemporary biological research.

Chance and Necessity
Chance and Necessity

Author: Jacques Monod

Publisher:

Published: 1997

Total Pages: 198

ISBN-13: 9780140256468

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Change and necessity is a statement of Darwinian natural selection as a process driven by chance necessity, devoid of purpose or intent.

Logic with a Probability Semantics
Logic with a Probability Semantics

Author: Theodore Hailperin

Publisher: Rowman & Littlefield

Published: 2011

Total Pages: 124

ISBN-13: 1611460107

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The present study is an extension of the topic introduced in Dr. Hailperin's Sentential Probability Logic, where the usual true-false semantics for logic is replaced with one based more on probability, and where values ranging from 0 to 1 are subject to probability axioms. Moreover, as the word "sentential" in the title of that work indicates, the language there under consideration was limited to sentences constructed from atomic (not inner logical components) sentences, by use of sentential connectives ("no," "and," "or," etc.) but not including quantifiers ("for all," "there is"). An initial introduction presents an overview of the book. In chapter one, Halperin presents a summary of results from his earlier book, some of which extends into this work. It also contains a novel treatment of the problem of combining evidence: how does one combine two items of interest for a conclusion-each of which separately impart a probability for the conclusion-so as to have a probability for the conclusion basedon taking both of the two items of interest as evidence? Chapter two enlarges the Probability Logic from the first chapter in two respects: the language now includes quantifiers ("for all," and "there is") whose variables range over atomic sentences, notentities as with standard quantifier logic. (Hence its designation: ontological neutral logic.) A set of axioms for this logic is presented. A new sentential notion-the suppositional-in essence due to Thomas Bayes, is adjoined to this logic that later becomes the basis for creating a conditional probability logic. Chapter three opens with a set of four postulates for probability on ontologically neutral quantifier language. Many properties are derived and a fundamental theorem is proved, namely, for anyprobability model (assignment of probability values to all atomic sentences of the language) there will be a unique extension of the probability values to all closed sentences of the language. The chapter concludes by showing the Borel's early denumerableprobability concept (1909) can be justified by its being, in essence, close to Hailperin's probability result applied to denumerable language. The final chapter introduces the notion of conditional-probability to a language having quantifiers of the kind