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In real-world applications, the eective integration of learn- ing and reasoning in a cognitive agent model is a dicult task. However, such integration may lead to a better under- standing, use and construction of more realistic multiagent models. Exi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::04f32f1c3d281faf06f54f1c8e645b33
https://dspace.library.uu.nl/handle/1874/305416
https://dspace.library.uu.nl/handle/1874/305416
Autor:
Penning, Leo de, Garcez, Artur S. d'Avila, Lamb, Luís C., Meyer, John-Jules Ch., Sub Intelligent Systems, Intelligent Systems
Publikováno v:
International conference on Autonomous Agents and Multi-Agent Systems, AAMAS '14, Paris, France, May 5-9, 2014, 1621
STARTPAGE=1621;TITLE=International conference on Autonomous Agents and Multi-Agent Systems, AAMAS '14, Paris, France, May 5-9, 2014
STARTPAGE=1621;TITLE=International conference on Autonomous Agents and Multi-Agent Systems, AAMAS '14, Paris, France, May 5-9, 2014
In real-world applications, the eective integration of learn- ing and reasoning in a cognitive agent model is a dicult task. However, such integration may lead to a better under- standing, use and construction of more realistic multiagent models. Exi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::e11090b1c0e0fec841db8482ab00aaeb
https://dspace.library.uu.nl/handle/1874/305416
https://dspace.library.uu.nl/handle/1874/305416