Overview
As individual needs have arisen in the fields of physics, electrical engineering and computational science, each has created its own theories of information to serve as conceptual instruments for advancing developments. This book provides a coherent consolidation of information theories from these different fields. The author gives a survey of current theories and then introduces the underlying notion of symmetry, showing how information is related to the capacity of a system to distinguish itself. A formal methodology using group theory is employed and leads to the application of Burnside's Lemma to count distinguishable states. This provides a versatile tool for quantifying complexity and information capacity in any physical system. Written in an informal style, the book is accessible to all researchers in the fields of physics, chemistry, biology, computational science as well as many others.
Full Product Details
Author: Scott J. Muller
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition: 2007 ed.
Dimensions:
Width: 15.50cm
, Height: 1.10cm
, Length: 23.50cm
Weight: 0.454kg
ISBN: 9783540698838
ISBN 10: 3540698833
Pages: 165
Publication Date: 15 May 2007
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: In Print
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Reviews
From the reviews: The author is concerned with the meaning of the term `information'. He discusses theories of information that arise in thermodynamics and statistical mechanics, communication theory, and in complexity theory. ... The book is more a contribution to epistemology ... . (L. L. Campbell, Mathematical Reviews, Issue 2008 k)
From the reviews: <p> The author is concerned with the meaning of the term a ~informationa (TM). He discusses theories of information that arise in thermodynamics and statistical mechanics, communication theory, and in complexity theory. a ] The book is more a contribution to epistemology a ] . (L. L. Campbell, Mathematical Reviews, Issue 2008 k)
Author Information
Scott Muller graduated from the University of Queensland in Chemical Engineering specialising in biotechnology. He worked in Australia and Italy in the biotechnology and pharmaceutical industries. In 2004 he received his doctorate from the University of Newcastle (Australia) where he studied the foundations of information and conducted research into the nature of ""emergence"". Recently he has worked on automated reasoning and expert systems in the telecommunications industry. Scott is currently developing industrial, adaptive decision-making systems using evolutionary programming techniques.
