**Author**: Edwin T. Jaynes

**Publisher:** Springer

**ISBN:**
**Category : **Mathematics

**Languages : **en

**Pages : **480

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**Book Description**
The first six chapters of this volume present the author's 'predictive' or information theoretic' approach to statistical mechanics, in which the basic probability distributions over microstates are obtained as distributions of maximum entropy (Le. , as distributions that are most non-committal with regard to missing information among all those satisfying the macroscopically given constraints). There is then no need to make additional assumptions of ergodicity or metric transitivity; the theory proceeds entirely by inference from macroscopic measurements and the underlying dynamical assumptions. Moreover, the method of maximizing the entropy is completely general and applies, in particular, to irreversible processes as well as to reversible ones. The next three chapters provide a broader framework - at once Bayesian and objective - for maximum entropy inference. The basic principles of inference, including the usual axioms of probability, are seen to rest on nothing more than requirements of consistency, above all, the requirement that in two problems where we have the same information we must assign the same probabilities. Thus, statistical mechanics is viewed as a branch of a general theory of inference, and the latter as an extension of the ordinary logic of consistency. Those who are familiar with the literature of statistics and statistical mechanics will recognize in both of these steps a genuine 'scientific revolution' - a complete reversal of earlier conceptions - and one of no small significance.

**Author**: Edwin T. Jaynes

**Publisher:** Springer

**ISBN:**
**Category : **Mathematics

**Languages : **en

**Pages : **480

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**Book Description**
The first six chapters of this volume present the author's 'predictive' or information theoretic' approach to statistical mechanics, in which the basic probability distributions over microstates are obtained as distributions of maximum entropy (Le. , as distributions that are most non-committal with regard to missing information among all those satisfying the macroscopically given constraints). There is then no need to make additional assumptions of ergodicity or metric transitivity; the theory proceeds entirely by inference from macroscopic measurements and the underlying dynamical assumptions. Moreover, the method of maximizing the entropy is completely general and applies, in particular, to irreversible processes as well as to reversible ones. The next three chapters provide a broader framework - at once Bayesian and objective - for maximum entropy inference. The basic principles of inference, including the usual axioms of probability, are seen to rest on nothing more than requirements of consistency, above all, the requirement that in two problems where we have the same information we must assign the same probabilities. Thus, statistical mechanics is viewed as a branch of a general theory of inference, and the latter as an extension of the ordinary logic of consistency. Those who are familiar with the literature of statistics and statistical mechanics will recognize in both of these steps a genuine 'scientific revolution' - a complete reversal of earlier conceptions - and one of no small significance.

**Author**: Anne Harrington

**Publisher:**
**ISBN:** 9780691084657

**Category : **Science

**Languages : **en

**Pages : **336

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**Book Description**
The Description for this book, Medicine, Mind, and the Double Brain: A Study in Nineteenth-Century Thought, will be forthcoming.

**Author**: Y. M. Guttmann

**Publisher:** Cambridge University Press

**ISBN:** 0521621283

**Category : **Philosophy

**Languages : **en

**Pages : **267

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**Book Description**
A most systematic study of how to interpret probabilistic assertions in the context of statistical mechanics.

**Author**: Vijay Singh

**Publisher:** Springer Science & Business Media

**ISBN:** 9780792352242

**Category : **Science

**Languages : **en

**Pages : **368

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**Book Description**
Since the pioneering work of Shannon in the late 1940's on the development of the theory of entropy and the landmark contributions of Jaynes a decade later leading to the development of the principle of maximum entropy (POME), the concept of entropy has been increasingly applied in a wide spectrum of areas, including chemistry, electronics and communications engineering, data acquisition and storage and retreival, data monitoring network design, ecology, economics, environmental engineering, earth sciences, fluid mechanics, genetics, geology, geomorphology, geophysics, geotechnical engineering, hydraulics, hydrology, image processing, management sciences, operations research, pattern recognition and identification, photogrammetry, psychology, physics and quantum mechanics, reliability analysis, reservoir engineering, statistical mechanics, thermodynamics, topology, transportation engineering, turbulence modeling, and so on. New areas finding application of entropy have since continued to unfold. The entropy concept is indeed versatile and its applicability widespread. In the area of hydrology and water resources, a range of applications of entropy have been reported during the past three decades or so. This book focuses on parameter estimation using entropy for a number of distributions frequently used in hydrology. In the entropy-based parameter estimation the distribution parameters are expressed in terms of the given information, called constraints. Thus, the method lends itself to a physical interpretation of the parameters. Because the information to be specified usually constitutes sufficient statistics for the distribution under consideration, the entropy method provides a quantitative way to express the information contained in the distribution.

**Author**: George N. Saridis

**Publisher:** World Scientific

**ISBN:** 9810247907

**Category : **Computers

**Languages : **en

**Pages : **126

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**Book Description**
Presents the result of 30 years' work on the original material related to "thinking machines". It is based on the ability of the computer to represent the hierarchical procedure of task conception and execution found in human beings.

**Author**: Jagat Narain Kapur

**Publisher:**
**ISBN:**
**Category : **Reference

**Languages : **en

**Pages : **408

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**Book Description**
This senior-level textbook on entropy provides a conceptual framework for the study of probabilistic systems with its elucidation of three key concepts - Shannon's information theory, Jaynes' maximum entropy principle and Kullback's minimum cross-entropy principle.

**Author**: John H. Harvey

**Publisher:** Wiley-Blackwell

**ISBN:** 9780631175926

**Category : **Psychology

**Languages : **en

**Pages : **184

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**Book Description**
The human is perhaps bestdubbed â€˛homo narransâ€˛, the story-teller. In our search for meanings we constantly tell stories and make accounts to explain events and frame relationships. This book presents the first systematic analysis from a psychological standpoint of this universal and fundamental human capacity. Nowhere is our account-making more evident that at times of acute personal stress. In divorce and separation, death of a spouse, redundancy or retirement, for example, we deal best with loss when we have worked through its meaning to close, empathic others. It is in the process of account-making that people look to create meaning out of loss. So fundamental an activity as account-making must, the authors believe, have evolutionary origins. Drawing on the work of Jaynes, they consider the process in relation to the origin of human consciousness and the beginnings of story-telling as a human activity. In arguing for the centrality of accounts to our psychology, the authors are careful to distinguish them from other processes of attribution and narratization. Nevertheless, the theories developed here will have a far-reaching impact on the development of social psychology and beyond the confines of the descipline too.

**Author**: Earl Derr Biggers

**Publisher:**
**ISBN:**
**Category : **Fiction

**Languages : **en

**Pages : **218

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**Book Description**

**Author**: Joel Coen

**Publisher:**
**ISBN:** 9780571129256

**Category : **Performing Arts

**Languages : **en

**Pages : **288

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**Book Description**
Barton Fink: Cast gender - mostly males; number - 19 males, 5 females (total 24); size - large; ages - adults. Set in Hollywood in the 40s, this story is a deeply dark, yet comic satire about creative egos, flashy movie moguls, travelling salesman, and a nasty case of writer's block.