ISBN: 9780262322249 | 320 pp. | March 2014

The Horizons of Evolutionary Robotics


Evolutionary robotics (ER) aims to apply evolutionary computation techniques to the design of both real and simulated autonomous robots. The Horizons of Evolutionary Robotics offers an authoritative overview of this rapidly developing field, presenting state-of-the-art research by leading scholars. The result is a lively, expansive survey that will be of interest to computer scientists, robotics engineers, neuroscientists, and philosophers.
The contributors discuss incorporating principles from neuroscience into ER; dynamical analysis of evolved agents; constructing appropriate evolutionary pathways; spatial cognition; the coevolution of robot brains and bodies; group behavior; the evolution of communication; translating evolved behavior into design principles; the development of an evolutionary robotics–based methodology for shedding light on neural processes; an incremental approach to complex tasks; and the notion of “mindless intelligence”—complex processes from immune systems to social networks—as a way forward for artificial intelligence.

Christos Ampatzis, Randall D. Beer, Josh Bongard, Joachim de Greeff, Ezequiel A. Di Paolo, Marco Dorigo, Dario Floreano, Inman Harvey, Sabine Hauert, Phil Husbands, Laurent Keller, Michail Maniadakis, Orazio Miglino, Sara Mitri, Renan Moioli, Stefano Nolfi, Michael O’Shea, Rainer W. Paine, Andy Philippides, Jordan B. Pollack, Michela Ponticorvo, Yoon-Sik Shim, Jun Tani, Vito Trianni, Elio Tuci, Patricia A. Vargas, Eric D. Vaughan

Table of Contents

  1. Preface
  2. 1. Context and Challenges for Evolutionary Robotics

    Patricia A. Vargas, Ezequiel A. Di Paolo, Inman Harvey, and Phil Husbands

  3. 2. Evolutionary Robotics and Neuroscience

    Phil Husbands, Renan C. Moioli, Yoonsik Shim, Andy Philippides, Patricia A. Vargas, and Michael O’Shea

  4. 3. Dynamical Analysis of Evolved Agents: A Primer

    Randall D. Beer

  5. 4. Evolutionary Pathways

    Inman Harvey and Ezequiel A. Di Paolo

  6. 5. Exploring the Roots of Spatial Cognition in Artificial and Natural Organisms: The Evolutionary Robotics Approach

    Orazio Miglino and Michela Ponticorvo

  7. 6. Why Morphology Matters

    Josh Bongard

  8. 7. Evolutionary Swarm Robotics: A Theoretical and Methodological Itinerary from Individual Neurocontrollers to Collective Behaviors

    Vito Trianni, Elio Tuci, Christos Ampatzis, and Marco Dorigo

  9. 8. Evolution of Communication in Robots

    Joachim de Greeff and Stefano Nolfi

  10. 9. Evolving Cooperation: From Biology to Engineering

    Sabine Hauert, Sara Mitri, Laurent Keller, and Dario Floreano

  11. 10. Understanding Higher-Order Cognitive Brain Mechanisms by Conducting Evolutional Neuro-robotics Experiments

    Jun Tani, Michail Maniadakis, and Rainer W. Paine

  12. 11. Incremental Evolution of an Omni-directional Biped for Rugged Terrain

    Eric D. Vaughan, Ezequiel A. Di Paolo, and Inman Harvey

  13. 12. Mindless Intelligence: Reflections on the Future of AI

    Jordan B. Pollack

  14. Contributors
  15. Index