This book gathers concepts of information across diverse fields: physics, electrical engineering and computational science. It surveys current theories, discusses underlying notions of symmetry, and shows how the capacity of a system to distinguish itself relates to information. The author develops a formal methodology using group theory, leading to the application of Burnside's Lemma to count distinguishable states. This provides a tool to quantify complexity and information capacity in any physical system.

Written in an informal style, the book is equally accessible to researchers in fields of physics, chemistry, biology, computational science as well as many others.

Consolidates diverse existing theories of information Accessible to non-specialists Includes supplementary material: sn.pub/extras

Autorentext

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.

Inhalt
Information.- Information and Distinguishability.- Information and Symmetry.- Conclusion.