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Investigating Mesopotamian cylinder seals iconography by using artificial neural networks. The Isin-Larsa period

The analysis of a corpus of seals belonging to the period of Isin and Larsa, carried out through the use of the Artificial Neural Network Auto-Contractive Maps, allows us to understand the complexity of the relationship of the different elements of the visual domain and its variety. The point of view adopted here is that of reading the iconology and iconography of the so-called presentation scene …

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Contributors

  • M. Ramazzotti (ed.)

Creator

  • Viaggiu, I.

Publisher

  • Edizioni All'Insegna del Giglio

Subject

  • Theoretical and methodological problems
  • Simulation AI
  • Field archaeology
  • artificial intelligence
  • Science and technology for Cultural Heritage
  • field archaeology
  • Artificial intelligence

Type of item

  • articles

Date

  • 2014-01-01
  • 2014-01-01

Contributors

  • M. Ramazzotti (ed.)

Creator

  • Viaggiu, I.

Publisher

  • Edizioni All'Insegna del Giglio

Subject

  • Theoretical and methodological problems
  • Simulation AI
  • Field archaeology
  • artificial intelligence
  • Science and technology for Cultural Heritage
  • field archaeology
  • Artificial intelligence

Type of item

  • articles

Date

  • 2014-01-01
  • 2014-01-01

Providing institution

  • The Institute of Heritage Sciences

Aggregator

  • MUSEU

Intermediate provider

  • Central Institute for the Union Catalogue of Italian Libraries

Rights statement for the media in this item (unless otherwise specified)

  • http://creativecommons.org/licenses/by-nc-sa/4.0/

Temporal

  • https://www.wikidata.org/wiki/Q6939
  • 21st century

Places

  • http://sws.geonames.org/3169070/

Identifier

  • A_C_oai_Archive_sup.xml:811
  • A_C_oai_Archive_sup.xml_811

Extent

  • pp. 243-262

Language

  • en
  • eng

Is part of

  • Europeana Archaeology
  • ARCHEOSEMA. Artificial Adaptive Systems for the Analysis of Complex Phenomena. Collected Papers in Honour of David Leonard Clarke

Providing country

  • Italy

Collection name

  • 224_Museu_CNR

First time published on Europeana

  • 2020-05-22T18:45:13.398Z

Last time updated from providing institution

  • 2020-05-22T18:45:13.398Z
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