Cellular Automata and Complex Systems: Methods for Modeling Biological Phenomena

Cellular Automata and Complex Systems: Methods for Modeling Biological Phenomena

Indexed In: SCOPUS
Release Date: June, 2010|Copyright: © 2010 |Pages: 502
DOI: 10.4018/978-1-61520-787-9
ISBN13: 9781615207879|ISBN10: 1615207872|EISBN13: 9781615207886
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Animals and virtual worlds produced by using self-reproducers
  • Artificial self-reproducing systems
  • Complexity and chaos in the cellular automata
  • From the cellular automata to the universal neuron Linguistics features and emergent structures
  • Genetic algorithms and multi-state cellular automata
  • One-dimensional and two-dimensional cellular automata
  • Translation of cellular automata into music and visual art
  • Von Newmann and the problem of self-replication
Reviews & Statements

"The authors present new techniques relevant to many important areas of CA research. All told, I found this book to be most timely and challenging. Its high level of exposition should appeal to a broad readership. It is a gem to behold and contemplate."

– Dr. Leon Chua, IEEE Fellow and Professor of Electrical Engineering and Computer Sciences, University of California, Berkeley, USA
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Editor/Author Biographies
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 Bilotta’s 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.
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