An Introduction to Transfer Entropy - Information Flow in Complex Systems (Hardcover, 1st ed. 2016)

This book considers a relatively new metric in complex systems, transfer entropy, derived from a series of measurements, usually a time series. After a qualitative introduction and a chapter that explains the key ideas from statistics required to understand the text, the authors then present information theory and transfer entropy in depth. A key feature of the approach is the authors' work to show the relationship between information flow and complexity. The later chapters demonstrate information transfer in canonical systems, and applications, for example in neuroscience and in finance. The book will be of value to advanced undergraduate and graduate students and researchers in the areas of computer science, neuroscience, physics, and engineering.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	November 2016
First published:	2016
Authors:	Terry Bossomaier • Lionel Barnett • Michael Harre • Joseph T. Lizier
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Hardcover
Pages:	190
Edition:	1st ed. 2016
ISBN-13:	978-3-319-43221-2
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-43221-4
Barcode:	9783319432212

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