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Membrane Computing

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Cover of 'Membrane Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Membrane Computing at Twelve Years
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    Chapter 2 Testing Based on P Systems – An Overview
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    Chapter 3 Mobility in Computer Science and in Membrane Systems
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    Chapter 4 Organization Oriented Chemical Computing
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    Chapter 5 Cellular Automata and the Quest for Nontrivial Artificial Self-Reproduction
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    Chapter 6 An Algorithmic Approach to Tilings of Hyperbolic Spaces: 10 Years Later
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    Chapter 7 Flattening the Transition P Systems with Dissolution
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    Chapter 8 The Family of Languages Generated by Non-cooperative Membrane Systems
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    Chapter 9 Polymorphic P Systems
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    Chapter 10 A Small Universal Splicing P System
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    Chapter 11 Membrane Systems Working in Generating and Accepting Modes: Expressiveness and Encodings
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    Chapter 12 BioSimWare: A Software for the Modeling, Simulation and Analysis of Biological Systems
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    Chapter 13 Modeling Population Growth of Pyrenean Chamois (Rupicapra p. pyrenaica) by Using P-Systems
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    Chapter 14 On Generalized Communicating P Systems with One Symbol
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    Chapter 15 A Faster P Solution for the Byzantine Agreement Problem
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    Chapter 16 Computationally Complete Spiking Neural P Systems without Delay: Two Types of Neurons Are Enough
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    Chapter 17 P Systems and Unique-Sum Sets
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    Chapter 18 An Integrated Approach to P Systems Formal Verification
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    Chapter 19 Using the SRSim Software for Spatial and Rule-Based Modeling of Combinatorially Complex Biochemical Reaction Systems
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    Chapter 20 Depth-First Search with P Systems
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    Chapter 21 Towards Modelling of Reactive, Goal-Oriented and Hybrid Intelligent Agents Using P Systems
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    Chapter 22 Goldbeter’s Mitotic Oscillator Entirely Modeled by MP Systems
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    Chapter 23 Modelling Spatial Heterogeneity and Macromolecular Crowding with Membrane Systems
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    Chapter 24 Randomized Gandy-Păun-Rozenberg Machines
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    Chapter 25 Feasibility of Organizations – A Refinement of Chemical Organization Theory with Application to P Systems
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    Chapter 26 P Systems with Elementary Active Membranes: Beyond NP and coNP
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    Chapter 27 Polynomial Complexity Classes in Spiking Neural P Systems
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    Chapter 28 Spiking Neural P Systems with Neuron Division
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    Chapter 29 Matrix Representation of Spiking Neural P Systems
Attention for Chapter 13: Modeling Population Growth of Pyrenean Chamois (Rupicapra p. pyrenaica) by Using P-Systems
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Chapter title
Modeling Population Growth of Pyrenean Chamois (Rupicapra p. pyrenaica) by Using P-Systems
Chapter number 13
Book title
Membrane Computing
Published by
Springer, Berlin, Heidelberg, August 2010
DOI 10.1007/978-3-642-18123-8_13
Book ISBNs
978-3-64-218122-1, 978-3-64-218123-8
Authors

Maria Angels Colomer, Santiago Lavín, Ignasi Marco, Antoni Margalida, Ignacio Pérez-Hurtado, Mario J. Pérez-Jiménez, Delfí Sanuy, Emmanuel Serrano, Luis Valencia-Cabrera

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 15%
Austria 1 5%
Unknown 16 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 30%
Student > Ph. D. Student 3 15%
Student > Bachelor 3 15%
Lecturer > Senior Lecturer 2 10%
Other 1 5%
Other 5 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 30%
Computer Science 6 30%
Veterinary Science and Veterinary Medicine 3 15%
Mathematics 2 10%
Environmental Science 1 5%
Other 1 5%
Unknown 1 5%