Overview
- Presents applications of membrane computing in systems and synthetic biology
- Collects in an organic way, different facets of the membrane computing paradigm
- Shows the full potential of the membrane computing framework incl. deterministic, non-deterministic and stochastic systems paired with different algorithms and methodologies
- Includes supplementary material: sn.pub/extras
Part of the book series: Emergence, Complexity and Computation (ECC, volume 7)
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Table of contents (8 chapters)
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Front Matter
Keywords
About this book
Membrane Computing was introduced as a computational paradigm in Natural Computing. The models introduced, called Membrane (or P) Systems, provide a coherent platform to describe and study living cells as computational systems. Membrane Systems have been investigated for their computational aspects and employed to model problems in other fields, like: Computer Science, Linguistics, Biology, Economy, Computer Graphics, Robotics, etc. Their inherent parallelism, heterogeneity and intrinsic versatility allow them to model a broad range of processes and phenomena, being also an efficient means to solve and analyze problems in a novel way.
Membrane Computing has been used to model biological systems, becoming with time a thorough modeling paradigm comparable, in its modeling and predicting capabilities, to more established models in this area. This book is the result of the need to collect, in an organic way, different facets of this paradigm.
The chapters of this book, together with the web pages accompanying them, present different applications of Membrane Systems to Biology. Deterministic, non-deterministic and stochastic systems paired with different algorithms and methodologies show the full potential of this framework.
The book is addressed to researchers interested in applications of discrete biological models and the interplay between Membrane Systems and other approaches to analyze complex systems.
Editors and Affiliations
Bibliographic Information
Book Title: Applications of Membrane Computing in Systems and Synthetic Biology
Editors: Pierluigi Frisco, Marian Gheorghe, Mario J. Pérez-Jiménez
Series Title: Emergence, Complexity and Computation
DOI: https://doi.org/10.1007/978-3-319-03191-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-03190-3Published: 07 January 2014
Softcover ISBN: 978-3-319-38097-1Published: 03 September 2016
eBook ISBN: 978-3-319-03191-0Published: 17 December 2013
Series ISSN: 2194-7287
Series E-ISSN: 2194-7295
Edition Number: 1
Number of Pages: XVII, 266
Number of Illustrations: 39 b/w illustrations, 61 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Complexity