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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 Impacts of Membrane Computing on Theoretical Computer Science (Extended Abstract)
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    Chapter 2 Time and Space Complexity of P Systems — And Why They Matter
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    Chapter 3 A Brute-Force Solution to the 27-Queens Puzzle Using a Distributed Computation
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    Chapter 4 Tissue P Systems with Point Mutation Rules
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    Chapter 5 Adaptive P Systems
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    Chapter 6 Chain Code P System Generating a Variant of the Peano Space-Filling Curve
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    Chapter 7 APCol Systems with Agent Creation
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    Chapter 8 APCol Systems with Verifier Agents
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    Chapter 9 A Semantic Investigation of Spiking Neural P Systems
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    Chapter 10 Towards Automated Analysis of Belousov-Zhabotinsky Reactions in a Petri Dish by Membrane Computing Using Optic Flow
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    Chapter 11 Testing Identifiable Kernel P Systems Using an X-Machine Approach
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    Chapter 12 Actor-Like cP Systems
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    Chapter 13 Solving QSAT in Sublinear Depth
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    Chapter 14 Design of Specific P Systems Simulators on GPUs
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    Chapter 15 Construction of Stable and Lightweight Technical Structures Inspired by Ossification of Bones Using Osteogenetic P Systems
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    Chapter 16 On Small Universality of Spiking Neural P Systems with Multiple Channels
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    Chapter 17 Modeling Plant Development with M Systems
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    Chapter 18 An Improved Quicksort Algorithm Based on Tissue-Like P Systems with Promoters
Attention for Chapter 4: Tissue P Systems with Point Mutation Rules
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Chapter title
Tissue P Systems with Point Mutation Rules
Chapter number 4
Book title
Membrane Computing
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-030-12797-8_4
Book ISBNs
978-3-03-012796-1, 978-3-03-012797-8
Authors

Artiom Alhazov, Rudolf Freund, Sergiu Ivanov, Sergey Verlan