Information Theory And Evolution (Third Edition)

Information Theory And Evolution (Third Edition) PDF Author: John Scales Avery
Publisher: World Scientific
ISBN: 9811250383
Category : Science
Languages : en
Pages : 329

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Book Description
This highly interdisciplinary book discusses the phenomenon of life, including its origin and evolution, against the background of thermodynamics, statistical mechanics, and information theory. Among the central themes is the seeming contradiction between the second law of thermodynamics and the high degree of order and complexity produced by living systems. As the author shows, this paradox has its resolution in the information content of the Gibbs free energy that enters the biosphere from outside sources. Another focus of the book is the role of information in human cultural evolution, which is also discussed with the origin of human linguistic abilities. One of the final chapters addresses the merging of information technology and biotechnology into a new discipline — bioinformation technology.This third edition has been updated to reflect the latest scientific and technological advances. Professor Avery makes use of the perspectives of famous scholars such as Professor Noam Chomsky and Nobel Laureates John O'Keefe, May-Britt Moser and Edward Moser to cast light on the evolution of human languages. The mechanism of cell differentiation, and the rapid acceleration of information technology in the 21st century are also discussed.With various research disciplines becoming increasingly interrelated today, Information Theory and Evolution provides nuance to the conversation between bioinformatics, information technology, and pertinent social-political issues. This book is a welcome voice in working on the future challenges that humanity will face as a result of scientific and technological progress.

Information Theory And Evolution (Third Edition)

Information Theory And Evolution (Third Edition) PDF Author: John Scales Avery
Publisher: World Scientific
ISBN: 9811250383
Category : Science
Languages : en
Pages : 329

Get Book Here

Book Description
This highly interdisciplinary book discusses the phenomenon of life, including its origin and evolution, against the background of thermodynamics, statistical mechanics, and information theory. Among the central themes is the seeming contradiction between the second law of thermodynamics and the high degree of order and complexity produced by living systems. As the author shows, this paradox has its resolution in the information content of the Gibbs free energy that enters the biosphere from outside sources. Another focus of the book is the role of information in human cultural evolution, which is also discussed with the origin of human linguistic abilities. One of the final chapters addresses the merging of information technology and biotechnology into a new discipline — bioinformation technology.This third edition has been updated to reflect the latest scientific and technological advances. Professor Avery makes use of the perspectives of famous scholars such as Professor Noam Chomsky and Nobel Laureates John O'Keefe, May-Britt Moser and Edward Moser to cast light on the evolution of human languages. The mechanism of cell differentiation, and the rapid acceleration of information technology in the 21st century are also discussed.With various research disciplines becoming increasingly interrelated today, Information Theory and Evolution provides nuance to the conversation between bioinformatics, information technology, and pertinent social-political issues. This book is a welcome voice in working on the future challenges that humanity will face as a result of scientific and technological progress.

Information, Entropy, and Progress

Information, Entropy, and Progress PDF Author: Robert U. Ayres
Publisher: Springer Science & Business Media
ISBN: 9780883189115
Category : Science
Languages : en
Pages : 324

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Book Description
Market: Those in economics, especially thermodynamics, statistical mechanics, cybernetics, information theory, resource use, and evolutionary economic behavior. This book presents an innovative and challenging look at evolution on several scales, from the earth and its geology and chemistry to living organisms to social and economic systems. Applying the principles of thermodynamics and the concepts of information gathering and self- organization, the author characterizes the direction of evolution in each case as an accumulation of "distinguishability" information--a type of universal knowledge.

Entropy, Information, and Evolution

Entropy, Information, and Evolution PDF Author: Bruce H. Weber
Publisher: MIT Press (MA)
ISBN: 9780262731683
Category : Political Science
Languages : en
Pages : 376

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Book Description
One of the most exciting and controversial areas of scientific research in recent years has been the application of the principles of nonequilibrium thermodynamics to the problems of the physical evolution of the universe, the origins of life, the structure and succession of ecological systems, and biological evolution.

Evolution As Entropy

Evolution As Entropy PDF Author: Daniel R. Brooks
Publisher: University of Chicago Press
ISBN: 9780226075747
Category : Science
Languages : en
Pages : 438

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Book Description
This second edition in just two years offers a considerably revised second chapter, in which information behavior replaces analogies to purely physical systems, as well as practical applications of the authors' theory. Attention is also given to a hierarchical theory of ecosystem behavior, taking note of constraints on local ecosystem members resul.

Information Theory, Evolution, and the Origin of Life

Information Theory, Evolution, and the Origin of Life PDF Author: Hubert P. Yockey
Publisher: Cambridge University Press
ISBN: 9780521802932
Category : Language Arts & Disciplines
Languages : en
Pages : 276

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Book Description
Publisher Description

Entropy and the Time Evolution of Macroscopic Systems

Entropy and the Time Evolution of Macroscopic Systems PDF Author: Walter T. Grandy Jr.
Publisher: OUP Oxford
ISBN: 0191562955
Category : Science
Languages : en
Pages : 225

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Book Description
This book is based on the premise that the entropy concept, a fundamental element of probability theory as logic, governs all of thermal physics, both equilibrium and nonequilibrium. The variational algorithm of J. Willard Gibbs, dating from the 19th Century and extended considerably over the following 100 years, is shown to be the governing feature over the entire range of thermal phenomena, such that only the nature of the macroscopic constraints changes. Beginning with a short history of the development of the entropy concept by Rudolph Clausius and his predecessors, along with the formalization of classical thermodynamics by Gibbs, the first part of the book describes the quest to uncover the meaning of thermodynamic entropy, which leads to its relationship with probability and information as first envisioned by Ludwig Boltzmann. Recognition of entropy first of all as a fundamental element of probability theory in mid-twentieth Century led to deep insights into both statistical mechanics and thermodynamics, the details of which are presented here in several chapters. The later chapters extend these ideas to nonequilibrium statistical mechanics in an unambiguous manner, thereby exhibiting the overall unifying role of the entropy.

Genetic Entropy

Genetic Entropy PDF Author: John C. Sanford
Publisher:
ISBN: 9780981631608
Category : Nature
Languages : en
Pages : 0

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Book Description
In this text, Sanford, a retired Cornell professor, shows that the "Primary Axiom"--the foundational evolutionary premise that life is merely the result of mutations and natural selection--is false. He strongly refutes the Darwinian concept that man is just the result of a random and pointless natural process.

Maximum Entropy and Ecology

Maximum Entropy and Ecology PDF Author: John Harte
Publisher: OUP Oxford
ISBN: 0191621161
Category : Science
Languages : en
Pages : 282

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Book Description
This pioneering graduate textbook provides readers with the concepts and practical tools required to understand the maximum entropy principle, and apply it to an understanding of ecological patterns. Rather than building and combining mechanistic models of ecosystems, the approach is grounded in information theory and the logic of inference. Paralleling the derivation of thermodynamics from the maximum entropy principle, the state variable theory of ecology developed in this book predicts realistic forms for all metrics of ecology that describe patterns in the distribution, abundance, and energetics of species over multiple spatial scales, a wide range of habitats, and diverse taxonomic groups. The first part of the book is foundational, discussing the nature of theory, the relationship of ecology to other sciences, and the concept of the logic of inference. Subsequent sections present the fundamentals of macroecology and of maximum information entropy, starting from first principles. The core of the book integrates these fundamental principles, leading to the derivation and testing of the predictions of the maximum entropy theory of ecology (METE). A final section broadens the book's perspective by showing how METE can help clarify several major issues in conservation biology, placing it in context with other theories and highlighting avenues for future research.

Entropy and Information

Entropy and Information PDF Author: Paralternativecelsus
Publisher: Strategic Book Publishing
ISBN: 9781618971982
Category : Philosophy
Languages : en
Pages : 348

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Book Description
Entropy and Information is a science/philosophical book. The author considers the function Entropy as the tool of the Second Law of Thermodynamics, subsequently applicable to link different areas. Entropy and Information: Unveiling the Mysterious Stuff Permeating the Universe is both holistic and interdisciplinary. I think it brings a new scope on how to face reality. It starts with basic concepts for a rationale on Entropy. Entropy is placed in context with Information Theory, a great milestone contributed by Shannon in 1948. Basically, Entropy gives us estimation on how elements or constituents interrelate in systems, the author says. As principles, entropy and information intimately deal with the human mind. Thus they are paramount in evolution, stupidity, memetics, societies and cultures. The final parts of the book are reflections and criticisms of so-called modern medicine, particularly for its uncouth business orientation. This book fills a gap in interdisciplinary science and is sure to be highly valued by a vast array of readers. Entropy, an old and poorly understood natural function, can be applied to many dimensional scenarios and areas of knowledge.About the Author: Paralternativecelus is an M.D. and a freelance philosopher interested in the process of knowledge and diagnosis. He is constantly challenging the status quo of medicine. For him, medicine is far from being a science, as some people may contrarily believe. Physical principles must be incorporated into health for breakthroughs to happen. Publisher's website: http: //sbpra.com/Paralternativecelsu

Information Theory, Inference and Learning Algorithms

Information Theory, Inference and Learning Algorithms PDF Author: David J. C. MacKay
Publisher: Cambridge University Press
ISBN: 9780521642989
Category : Computers
Languages : en
Pages : 694

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Book Description
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.