TitleInformation Theory for Complex Systems : An Information Perspective on Complexity in Dynamical Systems and Statistical Mechanics
Author(s)Lindgren, Kristian
PublicationBerlin, Heidelberg, 1. Imprint: Springer 2. Springer Berlin Heidelberg, 2024.
DescriptionXI, 153 p. 70 illus., 16 illus. in color : online resource
Abstract NoteThis book introduces a comprehensive framework tailored for dissecting complex systems across diverse disciplines. What defines a complex system? How can we harness information to quantify its order, structure, and intricacy? Delving into phenomena from the intricate processes in physical systems to the dynamic behaviours in cellular automata and pattern formation, readers will uncover the profound interplay between physics and information theory. This intricate relationship provides fresh insight into physical phenomena, reimagining them through the lens of information. Notably, the book demystifies how seemingly opposing forces???rising order and increasing disorder???coexist, ultimately shedding light on the second law of thermodynamics as an outcome of deterministic, reversible dynamics beneath the surface. Geared towards graduate students, this book presumes an undergraduate foundation in mathematics and physics, ensuring a deep, engaging exploration for its readers
ISBN,Price9783662682142
Keyword(s)1. COMPLEX SYSTEMS 2. Data structures (Computer science) 3. Data Structures and Information Theory 4. DYNAMICAL SYSTEMS 5. EBOOK 6. EBOOK - SPRINGER 7. INFORMATION THEORY 8. STATISTICAL MECHANICS 9. SYSTEM THEORY 10. THERMODYNAMICS
Item TypeeBook
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Accession#  Call#StatusIssued ToReturn Due On Physical Location
I12951     On Shelf