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