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Evolution, Complexity and Artificial Life

Overview of attention for book
Cover of 'Evolution, Complexity and Artificial Life'

Table of Contents

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    Book Overview
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    Chapter 1 One Artefact: Many Phenomena
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    Chapter 2 Taming the Complexity of Natural and Artificial Evolutionary Dynamics
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    Chapter 3 Models of Gene Regulation: Integrating Modern Knowledge into the Random Boolean Network Framework
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    Chapter 4 Attractors Perturbations in Biological Modelling: Avalanches and Cellular Differentiation
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    Chapter 5 Automatic Design of Boolean Networks for Modelling Cell Differentiation
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    Chapter 6 Towards the Engineering of Chemical Communication Between Semi-Synthetic and Natural Cells
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    Chapter 7 Cumulative Learning Through Intrinsic Reinforcements
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    Chapter 8 Development of Categorisation Abilities in Evolving Embodied Agents: A Study of Internal Representations with External Social Inputs
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    Chapter 9 Evolution, Complexity and Artificial Life
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    Chapter 10 Building Up Serious Games with an Artificial Life Approach: Two Case Studies
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    Chapter 11 The Effects of Multivalency and Kinetics in Nanoscale Search by Molecular Spiders
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    Chapter 12 Towards the Use of Genetic Programming for the Prediction of Survival in Cancer
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    Chapter 13 A Neuro-Evolutionary Approach to Electrocardiographic Signal Classification
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    Chapter 14 Self-Organisation and Evolution for Trust-Adaptive Grid Computing Agents
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    Chapter 15 Honest vs Cheating Bots in PATROL-Based Real-Time Strategy MMOGs
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    Chapter 16 Distribution Search on Evolutionary Many-Objective Optimization: Selection Mappings and Recombination Rate
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    Chapter 17 Concurrent Implementation Techniques Using Differential Evolution for Multi-Core CPUs: A Comparative Study Using Statistical Tests
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    Chapter 18 Erratum to: Chapter 3 Models of Gene Regulation: Integrating Modern Knowledge into the Random Boolean Network Framework
Attention for Chapter 3: Models of Gene Regulation: Integrating Modern Knowledge into the Random Boolean Network Framework
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Chapter title
Models of Gene Regulation: Integrating Modern Knowledge into the Random Boolean Network Framework
Chapter number 3
Book title
Evolution, Complexity and Artificial Life
Published by
Springer Berlin Heidelberg, January 2016
DOI 10.1007/978-3-642-37577-4_3
Book ISBNs
978-3-64-237576-7, 978-3-64-237577-4
Authors

Christian Darabos, Mario Giacobini, Jason H. Moore, Marco Tomassini, Darabos, Christian, Giacobini, Mario, Moore, Jason H., Tomassini, Marco

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 17%
Researcher 1 17%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline Count As %
Computer Science 2 33%
Agricultural and Biological Sciences 2 33%
Unknown 2 33%

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