Evolution, Complexity and Artificial Life

  • Stefano Cagnoni
  • Marco Mirolli
  • Marco Villani

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Research Issues

    1. Front Matter
      Pages 1-1
    2. Domenico Parisi
      Pages 3-18
    3. Riccardo Poli, Christopher R. Stephens
      Pages 19-39
  3. Biological Modeling

    1. Front Matter
      Pages 41-41
    2. Christian Darabos, Mario Giacobini, Jason H. Moore, Marco Tomassini
      Pages 43-57
    3. Stefano Benedettini, Andrea Roli, Roberto Serra, Marco Villani
      Pages 77-89
    4. Pasquale Stano, Giordano Rampioni, Luisa Damiano, Francesca D’Angelo, Paolo Carrara, Livia Leoni et al.
      Pages 91-104
  4. Mind and Society

    1. Front Matter
      Pages 105-105
    2. Vieri G. Santucci, Gianluca Baldassarre, Marco Mirolli
      Pages 107-122
    3. Alberto Acerbi, Stefano Ghirlanda, Magnus Enquist
      Pages 135-147
    4. Onofrio Gigliotta, Orazio Miglino, Massimiliano Schembri, Andrea Di Ferdinando
      Pages 149-158
  5. Applications

    1. Front Matter
      Pages 159-159
    2. Oleg Semenov, Darko Stefanovic, Milan N. Stojanovic
      Pages 161-175
    3. Marco Giacobini, Paolo Provero, Leonardo Vanneschi, Giancarlo Mauri
      Pages 177-192
    4. Antonia Azzini, Mauro Dragoni, Andrea G. B. Tettamanzi
      Pages 193-207
    5. Yvonne Bernard, Lukas Klejnowski, David Bluhm, Jörg Hähner, Christian Müller-Schloer
      Pages 209-224
    6. Stefano Sebastio, Michele Amoretti, Jose Raul Murga, Marco Picone, Stefano Cagnoni
      Pages 225-238

About this book

Introduction

Traditionally, artificial evolution, complex systems, and artificial life were separate fields, with their own research communities, but we are now seeing increased engagement and hybridization. Evolution and complexity characterize biological life but they also permeate artificial life, through direct modeling of biological processes and the creation of populations of interacting entities from which complex behaviors can emerge and evolve. This latter consideration also indicates the breadth of the related topics of interest, and of the different study viewpoints, ranging from purely scientific and exploratory approaches aimed at verifying biological theories to technology-focused applied research aimed at solving difficult real-world problems.

This edited book is structured into sections on research issues, biological modeling, mind and society, applications, and evolution. The contributing authors are among the leading scientists in these fields, and their chapters describe interesting ideas and results in topics such as artefacts, evolutionary dynamics, gene regulatory networks, biological modeling, cell differentiation, chemical communication, cumulative learning, embodied agents, cultural evolution, an a-life approach to games, nanoscale search by molecular spiders, using genetic programming for disease survival prediction, a neuroevolutionary approach to electrocardiography, trust-adaptive grid computing, detecting cheating bots in online games, distribution search in evolutionary multiobjective optimization, and differential evolution implemented on multicore CPUs.

The book will be of interest to researchers in the fields of artificial intelligence, artificial life, and computational intelligence.

Keywords

Artificial intelligence (AI) Artificial life (Alife) Biological modeling Cell biology Complex systems Complexity Evolution Evolutionary computing Evolutionary dynamics Genetic programming

Editors and affiliations

  • Stefano Cagnoni
    • 1
  • Marco Mirolli
    • 2
  • Marco Villani
    • 3
  1. 1.Dept. of Information EngineeringUniversity of ParmaParmaItaly
  2. 2.Consiglio Nazionale delle RicercheIstituto di Scienze e Tecnologie della CognizioneRomeItaly
  3. 3.Facoltà di Scienze della ComunicazioneUniversity of Modena and Reggio EmiliaReggio EmiliaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-37577-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-37576-7
  • Online ISBN 978-3-642-37577-4
  • About this book
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