Evolutionary robotics : First European Workshop, EvoRobot98, Paris, France, April 16 17, 1998 : proceedings

This book constitutes the thorougly refereed and revised post-workshop proceedings of the First European Workshop on Evolutionary Robotics, EvoRobot '98, held in Paris, France in April 1998. The 15 revised full papers presented outline the state of the art in this new interdisciplinary area of...

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Korporativní autor: European Workshop on Evolutionary robotics :Paris
Další autoři: Husbands, Philip, 1961- (Šéfredaktor, odpovědný redaktor), Meyer, Jean-Arcady, 1941-...., enseignant-chercheur (Šéfredaktor, odpovědný redaktor)
Médium: Livre numérique
Jazyk:Anglais
Vydáno: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Edice:Lecture notes in computer science 1468
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Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Evolutionary robotics, First European Workshop, EvoRobot'98, Paris, France, April 1998, Philip Husbands, Jean-Arcady Meyer (eds.), 1998, New York, Springer, 1 vol. (VIII-247 p.), Lecture notes in computer science, 3-540-64957-3
• Evolutionary Robotics, Texte imprimé, 9783662185285
Obsah:
  • Evolutionary robotics: A survey of applications and problems
  • How co-evolution can enhance the adaptive power of artificial evolution: Implications for evolutionary robotics
  • Running across the reality gap: Octopod locomotion evolved in a minimal simulation
  • Detour behavior in evolving robots: Are internal representations necessary?
  • Evolving robot behaviours with diffusing gas networks
  • Explaining the evolved: Homunculi, modules, and internal representation
  • Some problems (and a few solutions) for open-ended evolutionary robotics
  • Noise and the pursuit of complexity: A study in evolutionary robotics
  • Hardware solutions for evolutionary robotics
  • Blurred vision: Simulation-reality transfer of a visually guided robot
  • Learning to move a robot with random morphology
  • Learning behaviors for environmental modeling by genetic algorithm
  • Evolving and breeding robots
  • Off-line model-free and on-line model-based evolution for tracking navigation using evolvable hardware
  • Incremental evolution of neural controllers for robust obstacle-avoidance in Khepera.