Computation in Cells and Tissues
Perspectives and Tools of Thought
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Beschreibung
This book deals with key issues in the emerging interdisciplinary area involving cellular systems, computational modelling, and biologically inspired computing. This highly multidisciplinary book offers a unique blend of topical contributions that are written by biologists, computer scientists and mathematicians with non-expert readers in mind. It reflects important trends and developments in this exciting field of science.
The volume can serve as a textbook and reference book for advanced students and computer scientists, biologists, and mathematicians.
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.
Deals with the growing interface between cellular systems, computational modelling and biologically inspired computing Unique blend of topical contributions Highly multidisciplinary but written for a general readership to understand Contributions from biologists, computer scientists and mathematicians Reflects recent/current trends and developments Presents the state of the art in the emerging field of computation in cells and tissues Includes supplementary material: sn.pub/extras
Autor*in
R. Paton
Themen in »Computation in Cells and Tissues«
BioComputing CytoComputation Emerging computing paradigms Immune System agents biologically inspired communication cybernetics genome learning machine learning model modeling network neural networks
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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)
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