The Emergence of Social Learning in Artificial Societies

  • Mauro Annunziato
  • Piero Pierucci
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2611)


The most recent advances of artificial life research are opening up a new frontier: the creation of simulated life environments populated by autonomous agents. In several cases a new paradigm for learning is emerging: social learning as a form of self-organization of many individual learning. In this paper two different approaches are presented and discussed: genetic competition and partial emulation. Finally an example of application of these concepts.


Social Learning Autonomous Agent Artificial Life Direct Competition Artificial World 
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 2003

Authors and Affiliations

  • Mauro Annunziato
    • 1
  • Piero Pierucci
    • 1
  1. 1.PlanctonRomeItaly

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