This revised edition offers an approach to information theory that is more general than the classical approach of Shannon. Classically, information is defined for an alphabet of symbols or for a set of mutually exclusive propositions (a partition of the probability space ?) with corresponding probabilities adding up to 1. The new definition is given for an arbitrary cover of ?, i.e. for a set of possibly overlapping propositions. The generalized information concept is called novelty and it is accompanied by two concepts derived from it, designated as information and surprise, which describe "opposite" versions of novelty, information being related more to classical information theory and surprise being related more to the classical concept of statistical significance. In the discussion of these three concepts and their interrelations several properties or classes of covers are defined, which turn out to be lattices. The book also presents applications of these concepts, mostlyin statistics and in neuroscience.

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Novelty, Information and Surprise
About this book
Information
Table of contents
- Cover
- Front Matter
- 1. Introduction
- Part I. Surprise and Information of Descriptions
- Part II. Coding and Information Transmission
- Part III. Information Rate and Channel Capacity
- Part IV. Repertoires and Covers
- Part V. Information, Novelty and Surprise in Science
- Part VI. Generalized Information Theory
- Back Matter
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Yes, you can access Novelty, Information and Surprise by Günther Palm in PDF and/or ePUB format, as well as other popular books in Mathematics & Computer Vision & Pattern Recognition. We have over 1.5 million books available in our catalogue for you to explore.