Cellular Automata and Complex Systems : Methods for Modeling Biological Phenomena

Eleonora Bilotta

ISBN 10: 1615207872 / ISBN 13: 9781615207879

Published by Medical Information Science Reference, 2010

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Cellular Automata (CA) are a class of spatially and temporally discrete mathematical systems characterized by local interaction and synchronous dynamical evolution, which show complex behavior and are able to model biological phenomena. Cellular Automata and Complex Systems: Methods for Modeling Biological Phenomena describes the use of cellular automata to provide important insights into a vast range of physical, biological, social, economic and psychological phenomena. This book presents contemporary research on discrete dynamical systems such as one-dimensional and two-dimensional cellular automata and outlines how these systems can be exploited for artistic purposes, translating their mathematical configurations into music and visual media.

Seller Inventory # 9781615207879

Bibliographic Details

• Title: Cellular Automata and Complex Systems : Methods for Modeling Biological Phenomena
• Publisher: Medical Information Science Reference
• Publication Date: 2010
• Language: English
• ISBN 10: 1615207872
• ISBN 13: 9781615207879
• Binding: Buch
• Condition: Neu

About this title

Synopsis

Cellular Automata (CA) are a class of spatially and temporally discrete mathematical systems characterized by local interaction and synchronous dynamical evolution, which show complex behavior and are able to model biological phenomena. Cellular Automata and Complex Systems: Methods for Modeling Biological Phenomena describes the use of cellular automata to provide important insights into a vast range of physical, biological, social, economic and psychological phenomena. This book presents contemporary research on discrete dynamical systems such as one-dimensional and two-dimensional cellular automata and outlines how these systems can be exploited for artistic purposes, translating their mathematical configurations into music and visual media.

About the Author

Eleonora Bilotta is a full professor of General Psychology at the Department of Linguistics, Faculty of Humanities, University of Calabria, Italy, where she is the coordinator of the Ph.D Course in Psychology of Programming and Artificial Intelligence. Her research interests cover a broad range of topics including Cognitive Psychology and Intelligent systems in Education, Animal and Human Behaviour, Human Computer Interaction, Psychology of Music, Continuous and Discrete Dynamical Systems, and Artificial Life and Complexity. Eleonora Bilotta has published more than 250 scientific papers and is co-author of several books, among which, A Gallery of Chua Attractors, published in 2008 by World Scientific Publishing. Images from Eleonora Bilottas papers have been used as covers for the journals Complexity and the International Journal of Bifurcation and Chaos. She is currently co- director of the Evolutionary systems Group (ESG) at the University of Calabria. She is co-author of a patent for a sound synthesizer exploiting chaotic dynamics.

Pietro Pantano is a Full Professor of Mathematical Physics at the Faculty of Engineering of the University of Calabria. His research interests are multidisciplinary, covering several different areas of research. These include Theory of Complexity and self-Organizing Systems, Discrete and Continuous Dynamical Systems, Chua's oscillator, Biological Models based on Cellular Automata, Artificial Life, and Generative and Evolutionary Music. Prof. Pantano has published more than 300 scientific papers and has co-authored several books. These include Ray methods for nonlinear waves in fluids and plasmas published in 1993 by Longman Scientific and A Gallery of Chua Attractors published in 2008 by World Scientific Publishing. Images from papers co-authored by Prof. Pantano have been use as covers for the journals Complexity and the International Journal of Bifurcation and Chaos. Prof. Pantano is currently co-director of the Evolutionary systems Group (ESG) at the University of Calabria. He is co-author of a patent for a sound synthesizer exploiting chaotic dynamics.