Advances in Artificial Life

1. Front Matter

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2. Conceptual Track

   1. Effect of Synthetic Emotions on Agents’ Learning Speed and Their Survivability

      • Šarūnas Raudys

      Pages 1-10

   2. From the Inside Looking Out: Self Extinguishing Perceptual Cues and the Constructed Worlds of Animats

      • Ian Macinnes, Ezequiel Di Paolo

      Pages 11-20

   3. Globular Universe and Autopoietic Automata: A Framework for Artificial Life

      • Jiří Wiedermann

      Pages 21-30

   4. May Embodiment Cause Hyper-Computation?

      • Jozef Kelemen

      Pages 31-36

   5. Perception as a Dynamical Sensori-Motor Attraction Basin

      • M. Maillard, O. Gapenne, L. Hafemeister, P. Gaussier

      Pages 37-46

   6. Toward Genuine Continuity of Life and Mind

      • Liz Stillwaggon

      Pages 47-56

3. Morphogenesis and Development

   1. Biological Development of Cell Patterns: Characterizing the Space of Cell Chemistry Genetic Regulatory Networks

      • Nicholas Flann, Jing Hu, Mayank Bansal, Vinay Patel, Greg Podgorski

      Pages 57-66

   2. A Coarse-Coding Framework for a Gene-Regulatory-Based Artificial Neural Tissue

      • Jekanthan Thangavelautham, Gabriele M. T. D’Eleuterio

      Pages 67-77

   3. A Computational Model of Cellular Morphogenesis in Plants

      • Tim Rudge, Jim Haseloff

      Pages 78-87

   4. A Developmental Model for Generative Media

      • Jon McCormack

      Pages 88-97

   5. Evolutionary Simulations of Maternal Effects in Artificial Developmental Systems

      • Artur Matos, Reiji Suzuki, Takaya Arita

      Pages 98-107

   6. METAMorph: Experimenting with Genetic Regulatory Networks for Artificial Development

      • Finlay Stewart, Tim Taylor, George Konidaris

      Pages 108-117

   7. Morphological Plasticity: Environmentally Driven Morphogenesis

      • Katie Bentley, Chris Clack

      Pages 118-127

   8. A Self-organising, Self-adaptable Cellular System

      • Lucien Epiney, Mariusz Nowostawski

      Pages 128-137

   9. Self-repair Ability of a Toroidal and Non-toroidal Cellular Developmental Model

      • Can Öztürkeri, Mathieu S. Capcarrere

      Pages 138-148

   10. Simulating Evolution with a Computational Model of Embryogeny: Obtaining Robustness from Evolved Individuals

       • Chris P. Bowers

       Pages 149-158

   11. Topology Changes Enable Reaction-Diffusion to Generate Forms

       • Shuhei Miyashita, Satoshi Murata

       Pages 159-168

4. Robotics and Autonomous Agents

   1. Aggregation Behaviour as a Source of Collective Decision in a Group of Cockroach-Like-Robots

      • Simon Garnier, Christian Jost, Raphaël Jeanson, Jacques Gautrais, Masoud Asadpour, Gilles Caprari et al.

      Pages 169-178

   2. (Co)Evolution of (De)Centralized Neural Control for a Gravitationally Driven Machine

      • Steffen Wischmann, Martin Hülse, Frank Pasemann

      Pages 179-188

TheArti?cialLifetermappearedmorethan20yearsagoinasmallcornerofNew Mexico, USA. Since then the area has developed dramatically, many researchers joining enthusiastically and research groups sprouting everywhere. This frenetic activity led to the emergence of several strands that are now established ?elds in themselves. We are now reaching a stage that one may describe as maturer: with more rigour, more benchmarks, more results, more stringent acceptance criteria, more applications, in brief, more sound science. This, which is the n- ural path of all new areas, comes at a price, however. A certain enthusiasm, a certain adventurousness from the early years is fading and may have been lost on the way. The ?eld has become more reasonable. To counterbalance this and to encourage lively discussions, a conceptual track, where papers were judged on criteria like importance and/or novelty of the concepts proposed rather than the experimental/theoretical results, has been introduced this year. A conference on a theme as broad as Arti?cial Life is bound to be very - verse,but a few tendencies emerged. First, ?elds like ‘Robotics and Autonomous Agents’ or ‘Evolutionary Computation’ are still extremely active and keep on bringing a wealth of results to the A-Life community. Even there, however, new tendencies appear, like collective robotics, and more speci?cally self-assembling robotics, which represent now a large subsection. Second, new areas appear.

• Automat
• agents
• artificial life
• automata
• autonom
• autonomous agent
• communication
• evolution
• evolutionary computation
• robot
• robotics
• simulation

• Natural Computation Group, University of Kent, Canterbury, UK

  Mathieu S. Capcarrère

• Computing Laboratory and Centre for BioMedical Informatics, University of Kent, Canterbury, UK

  Alex A. Freitas

• Computer Science Department, University College London, London, UK

  Peter J. Bentley

• Computing Laboratory, University of Kent, Canterbury, UK

  Colin G. Johnson

• Department of Electronics, University of York, Heslington, York, UK

  Jon Timmis

Policies and ethics