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Origins of Communication in Evolving Robots

  • Davide Marocco
  • Stefano Nolfi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4095)

Abstract

In this paper we describe how a population of simulated robots evolved for the ability to solve a collective navigation problem develop individual and social/communication skills. In particular, we analyze the evolutionary origins of motor and signaling behaviors. Obtained results indicate that signals and the meaning of the signals produced by evolved robots are grounded not only on the robots sensory-motor system but also on robots’ behavioral capabilities previously acquired. Moreover, the analysis of the co-evolution of robots individual and communicative abilities indicate how innovation in the former might create the adaptive basis for further innovations in the latter and vice versa.

Keywords

Target Area Evolutionary Origin Artificial Life Signaling Behavior Communicative Ability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Davide Marocco
    • 1
  • Stefano Nolfi
    • 1
  1. 1.Institute of Cognitive Science and Technologies, CNRRomeItaly

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