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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
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Title
Evolution, Complexity and Artificial Life
Published by
Springer Berlin Heidelberg, December 2013
DOI 10.1007/978-3-642-37577-4
ISBNs
978-3-64-237576-7, 978-3-64-237577-4
Editors

Cagnoni, Stefano, Mirolli, Marco, Villani, Marco

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Unknown 63 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 28%
Student > Master 12 18%
Researcher 8 12%
Professor 4 6%
Student > Bachelor 4 6%
Other 11 17%
Unknown 8 12%
Readers by discipline Count As %
Computer Science 15 23%
Agricultural and Biological Sciences 10 15%
Engineering 10 15%
Business, Management and Accounting 4 6%
Physics and Astronomy 3 5%
Other 12 18%
Unknown 11 17%