Asymmetry: The Foundation of Information

1. Auflage. Softcover version of original hardcover Auflage 2007
ISBN: 978-3-642-08932-9
Verlag: Springer

Buch, Englisch, 165 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 277 g

Reihe: The Frontiers Collection

This book gathers concepts of information across diverse fields –physics, electrical engineering and computational science – surveying current theories, discussing underlying notions of symmetry, and showing 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.

Zielgruppe

Research

Autoren/Hrsg.

Muller, Scott J.

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Informationstheorie, Kodierungstheorie
• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Naturwissenschaften, Technik, Medizin

Inhaltsverzeichnis

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

Über Autor(innen)

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.