The book introduces the reader to state of the art approaches to biosystems modeling, biocomputing, natural computation, and emerging unconventional models of computation in general. Textbook and reference book for advanced students and computer scientists, biologists, and mathematicians.
Rezensionen / Stimmen
From the reviews:
"This book provides a particularly rich source of insights into the future of computing, and of new notions of computation. This multi-disciplinary book brings together biologists, biochemists, bioinformaticians . who offer their insights into the paradigms emerging from modern biology. It contains 17 essays, for an audience of researchers working in biological information processing." (W. Richard Stark, Computing Reviews, February, 2005)
Reihe
Auflage
Softcover reprint of the original 1st ed. 2004
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Professional/practitioner
Illustrationen
188
188 s/w Abbildungen
XV, 345 p. 188 illus.
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 20 mm
Gewicht
ISBN-13
978-3-642-05569-0 (9783642055690)
DOI
10.1007/978-3-662-06369-9
Schweitzer Klassifikation
Ray Paton trained originally as a biologist and for the last 12 years has worked in Computer Science. He is currently a Senior Lecturer in Dept Computer Science, University of Liverpool. He was the director of the CytoCom project on which this book is based.
Hamid Bolouri, PhD Microelectronics , Brunel Univ. 1990 Currently Professor of Computational Biology, Inst. for Systems Biology , Seattle, WA98103
Mike Holcombe is a Professor of Computer Science, University of Sheffield.
Howard Parish is a Senior Lecturer in the Biochemistry.
Richard Tateson has worked on nature-inspired computation at BTexact since 1997, applying ideas from cell biology, developmental biology and evolution to problems in telecommunications. Prior to that he was at Cambridge University doing a BA in biochemistry and a PhD in developmental biology.
CytoComputational Systems - Perspectives and Tools of Thought.- Cells in Telecommunications.- Symbiogenesis as a Machine Learning Mechanism.- An Overview of Artificial Immune Systems.- Embryonics and Immunotronics: Biologically Inspired Computer Science Systems.- Biomedical Applications of Micro and Nano Technologies.- Macromolecules, Genomes and Ourselves.- Models of Genetic Regulatory Networks.- A Model of Bacterial Adaptability Based on Multiple Scales of Interaction: COSMIC.- Stochastic Computations in Neurons and Neural Networks.- Spatial Patterning in Explicitly Cellular Environments: Activity-Regulated Juxtacrine Signalling.- Modelling the GH Release System.- Hierarchies of Machines.- Models of Recombination in Ciliates.- Developing Algebraic Models of Protein Signalling Agents.- Categorical Language and Hierarchical Models for Cell Systems.- Mathematical Systems Biology: Genomic Cybernetics.- What Kinds of Natural Processes can be Regarded as Computations?.- List of Contributors.
