Coding and Redundancy
Man-Made and Animal-Evolved Signals
Seiten
2008
Harvard University Press (Verlag)
978-0-674-02795-4 (ISBN)
Harvard University Press (Verlag)
978-0-674-02795-4 (ISBN)
This book explores the similar ways in which information is encoded in nonverbal man-made signals (e.g., traffic lights, tornado sirens) and animal-evolved signals (e.g., color patterns, vocalizations). Drawing on semiotics, animal behavior, psychology, and allied fields, it surveys animal signaling and an important class of human communication.
This book explores the strikingly similar ways in which information is encoded in nonverbal man-made signals (e.g., traffic lights and tornado sirens) and animal-evolved signals (e.g., color patterns and vocalizations). The book also considers some coding principles for reducing certain unwanted redundancies and explains how desirable redundancies enhance communication reliability.
Jack Hailman believes this work pioneers several aspects of analyzing human and animal communication. The book is the first to survey man-made signals as a class. It is also the first to compare such human-devised systems with signaling in animals by showing the highly similar ways in which the two encode information. A third innovation is generalizing principles of quantitative information theory to apply to a broad range of signaling systems. Finally, another first is distinguishing among types of redundancy and their separation into unwanted and desirable categories.
This remarkably novel book will be of interest to a wide readership. Appealing not only to specialists in semiotics, animal behavior, psychology, and allied fields but also to general readers, it serves as an introduction to animal signaling and to an important class of human communication.
This book explores the strikingly similar ways in which information is encoded in nonverbal man-made signals (e.g., traffic lights and tornado sirens) and animal-evolved signals (e.g., color patterns and vocalizations). The book also considers some coding principles for reducing certain unwanted redundancies and explains how desirable redundancies enhance communication reliability.
Jack Hailman believes this work pioneers several aspects of analyzing human and animal communication. The book is the first to survey man-made signals as a class. It is also the first to compare such human-devised systems with signaling in animals by showing the highly similar ways in which the two encode information. A third innovation is generalizing principles of quantitative information theory to apply to a broad range of signaling systems. Finally, another first is distinguishing among types of redundancy and their separation into unwanted and desirable categories.
This remarkably novel book will be of interest to a wide readership. Appealing not only to specialists in semiotics, animal behavior, psychology, and allied fields but also to general readers, it serves as an introduction to animal signaling and to an important class of human communication.
Jack P. Hailman was Professor of Zoology, Emeritus, at the University of Wisconsin and Research Associate at Archbold Biological Station.
* List of Tables and Figures * Foreword * Preface * *1. Introduction * Part I. Coding *2. Binary Coding *3. Multi-valued Coding *4. Multivariate Coding * Part II. Redundancy *5. Intrinsic Redundancy *6. Redundancy Reduction *7. Designed Redundancy * Appendix A: List of Equations * Appendix B: How to Find Base-2 Logarithms on a Pocket Calculator * Appendix C: Binary Pervasiveness * Notes * References * Index
| Erscheint lt. Verlag | 30.6.2008 |
|---|---|
| Zusatzinfo | 25 line illustrations, 14 tables |
| Verlagsort | Cambridge, Mass |
| Sprache | englisch |
| Maße | 156 x 235 mm |
| Themenwelt | Geisteswissenschaften ► Philosophie ► Erkenntnistheorie / Wissenschaftstheorie |
| Naturwissenschaften ► Biologie ► Zoologie | |
| Sozialwissenschaften | |
| ISBN-10 | 0-674-02795-7 / 0674027957 |
| ISBN-13 | 978-0-674-02795-4 / 9780674027954 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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