Wayenberg J., Capriotti M. 2014, Investigating Greek painted iconology by using artificial neural networks. Maenads and satyrs on athenian red-figure pottery, in M. Ramazzotti (ed.), ARCHEOSEMA. Artificial Adaptive Systems for the Analysis of Complex Phenomena. Collected Papers in Honour of David Leonard Clarke, «Archeologia e Calcolatori», Supplemento 6, 263-290
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Investigating Greek painted iconology by using artificial neural networks. Maenads and satyrs on athenian red-figure pottery
Juliette Wayenberg, Massimiliano Capriotti
«Archeologia e Calcolatori» 2014, Supplemento 6, 263-290
Abstract
This study aims at exploring both the identity of the maenads and their multiple interactions with the satyrs on Athenian red-figure vases by presenting the preliminary results of an ANN-based analysis applied to a dataset of 114 vases representing 478 figures (maenads and satyrs). The encouraging results seem to confirm the highly significant role of ANN-based methodologies as innovative tools for the organisation, visualisation and analysis of complex data in History of Art and Archaeology. Further explorations of these methodologies, associated with higher levels of data formalisation, should open new perspectives for the research on Athenian iconography and iconology.
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Subjects:
Simulation AI Theoretical and methodological problems
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CNR - Istituto di Scienze del Patrimonio Culturale
Edizioni All'Insegna del Giglio
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