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OverviewFull Product DetailsAuthor: Stefano Cagnoni , Marco Mirolli , Marco VillaniPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: Softcover reprint of the original 1st ed. 2014 Dimensions: Width: 15.50cm , Height: 1.60cm , Length: 23.50cm Weight: 4.569kg ISBN: 9783662513286ISBN 10: 3662513285 Pages: 280 Publication Date: 27 August 2016 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsOne Artefact – Many Phenomena.- Taming the Complexity of Natural and Artificial Evolutionary Dynamics.- Models of Gene Regulation: Integrating Modern Knowledge into the Random Boolean Network Framework.- Attractors Perturbations in Biological Modelling: Avalanches and Cellular Differentiation.- Automatic Design of Boolean Networks for Modeling Cell Differentiation.- Towards the Engineering of Chemical Communication Between Semi-synthetic and Natural Cells.- Cumulative Learning Through Intrinsic Reinforcements.- Development of Categorization Abilities in Evolving Embodied Agents: A Study of Internal Representations with External Social Inputs.- Regulatory Traits: Cultural Influences on Cultural Evolution.- Building up Serious Games with an Artificial Life Approach: Two Case Studies.- The Effects of Multivalency and Kinetics in Nanoscale Search by Molecular Spiders.- Towards the Use of Genetic Programming for the Prediction of Survival in Cancer.- A Neuro-evolutionary Approach to Electrocardiographic Signal Classification.- Self-organisation and Evolution for Trust-Adaptive Grid Computing Agents.- Honest vs. Cheating Bots in PATROL-Based Real-Time Strategy MMOGs.- Distribution Search on Evolutionary Many-Objective Optimization: Selection Mappings and Recombination Rate.- Concurrent Implementation Techniques Using Differential Evolution for Multi-core CPUs: A Comparative Study Using Statistical Tests.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |