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Evolution, Complexity and Artificial Life

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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 16: Distribution Search on Evolutionary Many-Objective Optimization: Selection Mappings and Recombination Rate
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Chapter title
Distribution Search on Evolutionary Many-Objective Optimization: Selection Mappings and Recombination Rate
Chapter number 16
Book title
Evolution, Complexity and Artificial Life
Published by
Springer, Berlin, Heidelberg, January 2014
DOI 10.1007/978-3-642-37577-4_16
Book ISBNs
978-3-64-237576-7, 978-3-64-237577-4
Authors

Hernán Aguirre, Akira Oyama, Kiyoshi Tanaka, Aguirre, Hernán, Oyama, Akira, Tanaka, Kiyoshi

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Bachelor 1 50%
Readers by discipline Count As %
Computer Science 2 100%

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