42 products were found matching your search for Ben Naim Arieh Information Entropy in 2 shops:

Can recent developments in thermodynamics and information theory offer a way out of the current crisis in evolutionary theory? 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. These sixteen original essays by evolutionists, ecologists, molecular biologists, physical chemists, physicists, and philosophers of science provide the best current summary of this developing research program. Chapters in the book's first part - by Steven Frautschi, David Layser, and Dilip Kondoputi - explore the application of the second law of thermodynamics to physical evolution and the origins of life. Those in the second part - by Lionel G. Harrison, Lionel Johnson, Eric D. Schneider, and Jeffrey S. Wicken - take up the thermodynamics of ecology and evolution; Johnson and Wicken criticize neoDarwinian orthodoxy and present alternative theories relating thermodynamics to evolutionary ecology. In the book's third section, E. O. Wiley defends the theory that phylogenetic evolution may be predicted from a general version of the second law reformulated in terms of information theory, and Daniel R. Brooks, D. David Cumming, and Paul H. LeBlond also defend that controversial theory. The book concludes with a series of essays that evaluate these contributions and point out their implications for biology, philosophy, and the social sciences. The editors are all professors at California State University, Fullerton. Bruce H. Weber teaches chemistry and biochemistry, David J. Depew teaches philosophy, and James D. Smith teaches zoology. A Bradford Book.

"This is indeed a welcome and long needed addition to the literature dealing with the connection between entropy and information theory. BenNaim's book serves as a cautionary statement on a bottle of medicine warning the avid reader not to swallow all that is fed him in the pseudoscientific popular literature that has grown up around the words entropy and information." Professor Lavenda Bernard University of Camerino "This is a commendable book. The book is explicitly meant for a general audience: quite good jokes are cracked, the language is userfriendly, technical words are avoided when unnecessary or explained when unavoidable, mathematics is kept to a (nontrivial) minimum, logarithms, basic probability, basic calculus." zbMath "With all its profoundness the book is very understandable and easy to read and should be accessible to a wide audience with a general scientific background. Overall, the book provides a pleasantly dry look at a subject matter that frequently plays a role in popular science literature when it comes to explaining the really big picture." Angewandte Chemie The aim of this book is to explain in simple language what we know and what we do not know about information and entropy - two of the most frequently discussed topics in recent literature - and whether they are relevant to life and the entire universe. Entropy is commonly interpreted as a measure of disorder. This interpretation has caused a great amount of "disorder" in the literature. One of the aims of this book is to put some "order" in this "disorder". The book explains with minimum amount of mathematics what information theory is and how it is related to thermodynamic entropy. Then it critically examines the application of these concepts to the question of "What is life?" and whether or not they can be applied to the entire universe.

This book has emerged from a meeting held during the week of May 29 to June 2, 1989, at St. John’s College in Santa Fe under the auspices of the Santa Fe Institute. The (approximately 40) official participants as well as equally numerous “groupies” were enticed to Santa Fe by the above “manifesto.” The book―like the “Complexity, Entropy and the Physics of Information” meeting explores not only the connections between quantum and classical physics, information and its transfer, computation, and their significance for the formulation of physical theories, but it also considers the origins and evolution of the information-processing entities, their complexity, and the manner in which they analyze their perceptions to form models of the Universe. As a result, the contributions can be divided into distinct sections only with some difficulty. Indeed, I regard this degree of overlapping as a measure of the success of the meeting. It signifies consensus about the important questions and on the anticipated answers: they presumably lie somewhere in the “border territory,” where information, physics, complexity, quantum, and computation all meet.

Illustrates how the new science of information theory unifies a remarkable number of other sciences, arguing that even the most complex systems are based on a few basic rules

Unread book in perfect condition.

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.72

About 120 years ago, James Clerk Maxwell introduced his now legendary hypothetical "demon" as a challenge to the integrity of the second law of thermodynamics. Fascination with the demon persisted throughout the development of statistical and quantum physics, information theory, and computer science--and linkages have been established between Maxwell's demon and each of these disciplines. The demon's seductive quality makes it appealing to physical scientists, engineers, computer scientists, biologists, psychologists, and historians and philosophers of science. Until now its important source material has been scattered throughout diverse journals.This book brings under one cover twenty-five reprints, including seminal works by Maxwell and William Thomson; historical reviews by Martin Klein, Edward Daub, and Peter Heimann; information theoretic contributions by Leo Szilard, Leon Brillouin, Dennis Gabor, and Jerome Rothstein; and innovations by Rolf Landauer and Charles Bennett illustrating linkages with the limits of computation. An introductory chapter summarizes the demon's life, from Maxwell's illustration of the second law's statistical nature to the most recent "exorcism" of the demon based on a need periodically to erase its memory. An annotated chronological bibliography is included.Originally published in 1990.The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning machines both in supervised and unsupervised paradigms. It compares the performance of ITL algorithms with the second order counterparts in many applications.

This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning machines both in supervised and unsupervised paradigms. It compares the performance of ITL algorithms with the second order counterparts in many applications.

The principal message of this book is that thermodynamics and statistical mechanics will benefit from replacing the unfortunate, misleading and mysterious term “entropy” with a more familiar, meaningful and appropriate term such as information, missing information or uncertainty. This replacement would facilitate the interpretation of the “driving force” of many processes in terms of informational changes and dispel the mystery that has always enshrouded entropy. It has been 140 years since Clausius coined the term “entropy” almost 50 years since Shannon developed the mathematical theory of “information” - subsequently renamed “entropy”. In this book, the author advocates replacing “entropy” by “information”, a term that has become widely used in many branches of science. The author also takes a new and bold approach to thermodynamics and statistical mechanics. Information is used not only as a tool for predicting distributions but as the fundamental cornerstone concept of thermodynamics, held until now by the term “entropy”. The topics covered include the fundamentals of probability and information theory; the general concept of information as well as the particular concept of information as applied in thermodynamics; the re-derivation of the Sackur-Tetrode equation for the entropy of an ideal gas from purely informational arguments; the fundamental formalism of statistical mechanics; and many examples of simple processes the “driving force” for which is analyzed in terms of information.

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.48

Illustrates how the new science of information theory unifies a remarkable number of other sciences, arguing that even the most complex systems are based on a few basic rules

Brand: Naim AudioModel Name/Number: NAT 05Product Information: Audio Inputs Antenna FM Tuning Range FM 87.5 108MHz Audio Outputs Analogue DIN...

Entropy optimization has become a powerful tool for data analysis and problem solving that has an infinite array of real-world applications. This senior-level textbook provides a unified conceptual framework for the study of probabilistic systems with its elucidation of three key concepts: Shannon's Information Theory, Jayne's Maximum Entropy Principle, and Kullback's Minimum Cross-Entropy Principle. A wide array of real-world problems and applications are included that will establish the usefulness of these methods for any discipline looking at probabilistic systems and information (such as engineering, statistics, economics, and operations research). This textbook, complete with exercises, will leave students with the ability to apply these principles to new problems. The first true textbook that provides an interdisciplinary approach to entropy optimization principles with numerous applications and exercisesApplies principles to a diverse assortment of applications in statistics, thermodynamics, pattern recognition, spectral analysis, queuing theory, and parameter estimation problemsWill be of use to all engineering students looking at probabilistic systems, as well as to students of statistics, operations research and economics

The principal message of this book is that thermodynamics and statistical mechanics will benefit from replacing the unfortunate, misleading and mysterious term “entropy” with a more familiar, meaningful and appropriate term such as information, missing information or uncertainty. This replacement would facilitate the interpretation of the “driving force” of many processes in terms of informational changes and dispel the mystery that has always enshrouded entropy. It has been 140 years since Clausius coined the term “entropy” almost 50 years since Shannon developed the mathematical theory of “information” - subsequently renamed “entropy”. In this book, the author advocates replacing “entropy” by “information”, a term that has become widely used in many branches of science. The author also takes a new and bold approach to thermodynamics and statistical mechanics. Information is used not only as a tool for predicting distributions but as the fundamental cornerstone concept of thermodynamics, held until now by the term “entropy”. The topics covered include the fundamentals of probability and information theory; the general concept of information as well as the particular concept of information as applied in thermodynamics; the re-derivation of the Sackur-Tetrode equation for the entropy of an ideal gas from purely informational arguments; the fundamental formalism of statistical mechanics; and many examples of simple processes the “driving force” for which is analyzed in terms of information.

Social Entropy Theory illuminates the fundamental problems of societal analysis with a nonequilibrium approach, a new frame of reference built upon contemporary macrological principles, including general systems theory and information theory. Social entropy theory, using Shannon’s H and the entropy concept, avoids the common (and often artificial) separation of theory and method in sociology. The hallmark of the volume is integration, as seen in the author’s interdisciplinary discussions of equilibrium, entropy, and homeostasis. Unique features of the book are the introduction of the three-level model of social measurement, the theory of allocation, the concepts of global-mutable-immutable, discussion of order and power, and a large set of testable hypotheses.

This text is an elementary introduction to information and coding theory. The first part focuses on information theory, covering uniquely decodable and instantaneous codes, Huffman coding, entropy, information channels, and Shannon’s Fundamental Theorem. In the second part, linear algebra is used to construct examples of such codes, such as the Hamming, Hadamard, Golay and Reed-Muller codes. Contains proofs, worked examples, and exercises.

Chpt 1-Intro, Chpt 2-Error-Detecting Codes, Chpt 3- Error Correcting Codes, Chpt 4-Variable-Length Codes: Huffman, Chpt 5-Miscellaneous Codes, Chpt 6-Entropy and Shannon's first Theorem, Chpt 7- Channel and Mutual Information, Chpt 8- Channel Capacity, Chpt 9- Some Mathematical Preliminaries, Chpt 10- Shannon's Main Theorem, Chpt 11- Algebraic Coding, Appendix A: Bandwidth and the Sample Theorem, Appendix B: Some tables for Entropy Calculations.

Based on two decades of thought and research, this book presents a new fundamental equation termed the "entropy theory of perception" and proceeds to show how nearly all of the empirical laws of sensory science discovered in the last 130 years can be derived from this equation. Through this, the book offers a new theoretical approach to understanding the process of perception, and a new mathematical technique for analyzing sensory data. The book also discusses both machine and human perception, but from the perspective of mathematics/physics rather than from that of a neural network model.

From the book sleeve: [...] information theory has important applications in the several branches of mathematics which could hardly have been anticipated at the time of its birth. We may mention the entropy variant in ergodic theory, which has settled several problems of long standing, the use of the entropy concepts in discussing various questions centered about Hilbert's thirteenth problem, Linnik's proof of the central limit theorem using the information functional, and a short proof of the equivalence-singularity dichotomy for Gaussian measures. In this book the author develops the concept of information stability, which underlies several of the above-mentioned applications of the theory (as well as the classical coding theorems), and then applies it with particular reference to stationary processes and Gaussian processes.[...]