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. © Springer-Verlag Berlin Heidelberg 2003.
Cite
CITATION STYLE
Annunziato, M., & Pierucci, P. (2003). The emergence of social learning in artificial societies. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2611, 467–478. https://doi.org/10.1007/3-540-36605-9_43
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