The Emergence of Social Learning in Artificial Societies
Inhaltsverzeichnis
Reference
Annunziato, Mauro; Pierucci, Piero: The Emergence of Social Learning in Artificial Societies. In: EvoMUSART 2003, S. 467-478.
DOI
http://link.springer.com/10.1007/3-540-36605-9_43
Abstract
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
Bibtex
@incollection{
year={2003},
isbn={978-3-540-00976-4},
booktitle={Applications of Evolutionary Computing},
volume={2611},
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},
doi={10.1007/3-540-36605-9_43},
title={The Emergence of Social Learning in Artificial Societies},
url={http://dx.doi.org/10.1007/3-540-36605-9_43 http://de.evo-art.org/index.php?title=The_Emergence_of_Social_Learning_in_Artificial_Societies },
publisher={Springer Berlin Heidelberg},
author={Annunziato, Mauro and Pierucci, Piero},
pages={467-478},
language={English}
}
Used References
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Links
Full Text
http://www.plancton.com/papers/evoart.pdf
