Zobrazeno 1 - 10
of 269
pro vyhledávání: '"Cossentino, M."'
Akademický článek
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Publikováno v:
In Biologically Inspired Cognitive Architectures October 2012 2:100-108
Publikováno v:
22nd edition of the Workshop "From Objects to Agents" (WOA 2021), pp. 144–161, Virtual (organized by Alma Mater Research Institute for Human-Centered Artificial Intelligence of the University of Bologna), 02-03/09/2021
info:cnr-pdr/source/autori:Cossentino M.; Lopes S.; Sabatucci L.; Tripiciano M./congresso_nome:22nd edition of the Workshop "From Objects to Agents" (WOA 2021)/congresso_luogo:Virtual (organized by Alma Mater Research Institute for Human-Centered Artificial Intelligence of the University of Bologna)/congresso_data:02-03%2F09%2F2021/anno:2021/pagina_da:144/pagina_a:161/intervallo_pagine:144–161
info:cnr-pdr/source/autori:Cossentino M.; Lopes S.; Sabatucci L.; Tripiciano M./congresso_nome:22nd edition of the Workshop "From Objects to Agents" (WOA 2021)/congresso_luogo:Virtual (organized by Alma Mater Research Institute for Human-Centered Artificial Intelligence of the University of Bologna)/congresso_data:02-03%2F09%2F2021/anno:2021/pagina_da:144/pagina_a:161/intervallo_pagine:144–161
Emergency plans require a complex collaboration among multiple departments and roles. They are generally long textual documents containing practical instructions for hazard responses in natural language. This work focuses on converting informal docum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::e8a43317b6c16c0b9cf87280143bf8f7
https://publications.cnr.it/doc/458785
https://publications.cnr.it/doc/458785
Publikováno v:
21st Workshop ""From Objects to Agents"", WOA 2020, pp. 69–82, Bologna; Italy, 14,16/10/2020
info:cnr-pdr/source/autori:Cossentino M.; Lopes S.; Sabatucci L./congresso_nome:21st Workshop ""From Objects to Agents"", WOA 2020/congresso_luogo:Bologna; Italy/congresso_data:14,16%2F10%2F2020/anno:2020/pagina_da:69/pagina_a:82/intervallo_pagine:69–82
info:cnr-pdr/source/autori:Cossentino M.; Lopes S.; Sabatucci L./congresso_nome:21st Workshop ""From Objects to Agents"", WOA 2020/congresso_luogo:Bologna; Italy/congresso_data:14,16%2F10%2F2020/anno:2020/pagina_da:69/pagina_a:82/intervallo_pagine:69–82
Multi-agent systems proved successful in enacting business processes because of their inner properties (distribution of tasks, collaboration and coordination among agents). MAS adoption in enacting processes becomes even more interesting if they exhi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::2c4814469583d8d95aba6389574eea97
https://publications.cnr.it/doc/438114
https://publications.cnr.it/doc/438114
Akademický článek
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Autor:
Cossentino, M. J.1 (AUTHOR), Mann, K.1 (AUTHOR), Armbruster, S. P.1 (AUTHOR), Lake, J. M.1 (AUTHOR), Maydonovitch, C.1 (AUTHOR), Wong, R. K. H.1 (AUTHOR)
Publikováno v:
Alimentary Pharmacology & Therapeutics. May2012, Vol. 35 Issue 9, p1036-1044. 9p. 1 Diagram, 3 Charts.
Autor:
Ammar, Haitham Bou, Taylor, Matthew E., Tuyls, Karl, Weiss, Gerhard, Cossentino, M., Kaisers, M., Tuyls, K., Weiss, G.
Publikováno v:
Multi-Agent Systems: EUMAS 2011
Multi-Agent Systems
Multi-Agent Systems: EUMAS 2011, 1-16
STARTPAGE=1;ENDPAGE=16;TITLE=Multi-Agent Systems
Multi-Agent Systems ISBN: 9783642347986
EUMAS
Multi-Agent Systems
Multi-Agent Systems: EUMAS 2011, 1-16
STARTPAGE=1;ENDPAGE=16;TITLE=Multi-Agent Systems
Multi-Agent Systems ISBN: 9783642347986
EUMAS
Reinforcement learning agents can successfully learn in a variety of difficult tasks. A fundamental problem is that they may learn slowly in complex environments, inspiring the development of speedup methods such as transfer learning. Transfer improv
Akademický článek
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