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Advances in Artificial Life

9th European Conference, ECAL 2007, Lisbon, Portugal, September 10-14, 2007, Proceedings

  • Conference proceedings
  • © 2007

Overview

Editors:
  1. Fernando Almeida e Costa
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  2. Luis Mateus Rocha
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  3. Ernesto Costa
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  4. Inman Harvey
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  5. António Coutinho
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4648)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ECAL 2007.

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Table of contents (120 papers)

  1. Adaptive Behavior

    1. Adaptation to Sensory Delays

      • Marieke Rohde, Ezequiel Di Paolo
      Pages 193-202

    2. Adapting to Your Body

      • Peter Fine, Ezequiel Di Paolo, Eduardo Izquierdo
      Pages 203-212

    3. An Analysis of Behavioral Attractor Dynamics

      • Alberto Montebelli, Carlos Herrera, Tom Ziemke
      Pages 213-222

    4. Artificial Emotions: Are We Ready for Them?

      • Jackeline Spinola de Freitas, João Queiroz
      Pages 223-232

    5. Evolution of an Adaptive Sleep Response in Digital Organisms

      • Benjamin E. Beckmann, Philip K. McKinley, Charles Ofria
      Pages 233-242

    6. Where Did I Put My Glasses? Determining Trustfulness of Records in Episodic Memory by Means of an Associative Network

      • Cyril Brom, Klára PeÅ¡ková, Jiří Lukavský
      Pages 243-252

    7. Grounding Action-Selection in Event-Based Anticipation

      • Philippe Capdepuy, Daniel Polani, Chrystopher L. Nehaniv
      Pages 253-262

  2. Learning and Evolution

    1. Aging in Artificial Learning Systems

      • Sarunas Raudys
      Pages 263-272

    2. An Analysis of the Effects of Lifetime Learning on Population Fitness and Diversity in an NK Fitness Landscape

      • Dara Curran, Colm O’Riordan, Humphrey Sorensen
      Pages 273-283

    3. Embodied Evolution and Learning: The Neglected Timing of Maturation

      • Steffen Wischmann, Kristin Stamm, Florentin Wörgötter
      Pages 284-293

    4. Evolution and Learning in an Intrinsically Motivated Reinforcement Learning Robot

      • Massimiliano Schembri, Marco Mirolli, Gianluca Baldassarre
      Pages 294-303

    5. Evolving Cultural Learning Parameters in an NK Fitness Landscape

      • Dara Curran, Colm O’Riordan, Humphrey Sorensen
      Pages 304-314

    6. How Does Niche Construction Reverse the Baldwin Effect?

      • Hajime Yamauchi
      Pages 315-324

    7. Improving Search Efficiency in the Action Space of an Instance-Based Reinforcement Learning Technique for Multi-robot Systems

      • Toshiyuki Yasuda, Kazuhiro Ohkura
      Pages 325-334

    8. Improving Agent Localisation Through Stereotypical Motion

      • Bart Baddeley, Andrew Philippides
      Pages 335-344

    9. Neuroevolution of Agents Capable of Reactive and Deliberative Behaviours in Novel and Dynamic Environments

      • Edward Robinson, Timothy Ellis, Alastair Channon
      Pages 345-354

    10. On the Adaptive Disadvantage of Lamarckianism in Rapidly Changing Environments

      • Ingo Paenke, Bernhard Sendhoff, Jon Rowe, Chrisantha Fernando
      Pages 355-364

    11. The Dynamics of Associative Learning in an Evolved Situated Agent

      • Eduardo Izquierdo, Inman Harvey
      Pages 365-374

  3. Communication, Constitution of Meaning, Language

    1. Constructing the Basic Umwelt of Artificial Agents: An Information-Theoretic Approach

      • Philippe Capdepuy, Daniel Polani, Chrystopher L. Nehaniv
      Pages 375-383

    2. Directed Evolution of Communication and Cooperation in Digital Organisms

      • David B. Knoester, Philip K. McKinley, Benjamin Beckmann, Charles Ofria
      Pages 384-394
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