The Emergence of Social Learning in Artificial Societies

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Annunziato, Mauro; Pierucci, Piero: The Emergence of Social Learning in Artificial Societies. In: EvoMUSART 2003, S. 467-478.



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.

Extended Abstract


booktitle={Applications of Evolutionary Computing},
series={Lecture Notes in Computer Science},
editor={Cagnoni, Stefano and Johnson, ColinG. and Cardalda, JuanJ.Romero and Marchiori, Elena and Corne, DavidW. and Meyer, Jean-Arcady and Gottlieb, Jens and Middendorf, Martin and Guillot, Agnès and Raidl, GüntherR. and Hart, Emma},
title={The Emergence of Social Learning in Artificial Societies},
url={ },
publisher={Springer Berlin Heidelberg},
author={Annunziato, Mauro and Pierucci, Piero},

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