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 versatilityallow 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."
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