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Akademický článek
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Autor:
Florea, Virgil
Publikováno v:
Jahrbuch für Volksliedforschung, 1971 Jan 01. 16, 244-245.
Externí odkaz:
https://www.jstor.org/stable/847102
Autor:
Peter Schulam, Ion Muslea
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d32061bf93f51d00e33e59fb10b775d
https://doi.org/10.1145/3543873.3587574
https://doi.org/10.1145/3543873.3587574
Autor:
Eric Martin, Samuel Kaski, Fei Zheng, Geoffrey I. Webb, Xiaojin Zhu, Ion Muslea, Kai Ming Ting, Michail Vlachos, Risto Miikkulainen, Alan Fern, Miles Osborne, Luc De Raedt, Kristian Kersting, Thomas Zeugmann, Xinhua Zhang, Michael Bain, Artur Czumaj, Christian Sohler, Claude Sammut, Petra Kralj Novak, Nada Lavrač, Scott Sanner
ispartof: Encyclopedia of Machine Learning pages:916-924 edition:1 ispartof: pages:916-924 edition:1 edition: 1 status: published
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7877d40d899253e45cf810e23311cf40
https://doi.org/10.1007/978-1-4899-7687-1_786
https://doi.org/10.1007/978-1-4899-7687-1_786
Publikováno v:
Journal of Intelligent Information Systems. 16:149-187
Integrating data from heterogeneous data sources is a critical problem that has received a great deal of attention in recent years. There are two competing approaches to address this problem. The traditional approach, which first appeared in Multibas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31afcf496bd9462481312b9f9349605e
https://doi.org/10.1023/a:1011289701371
https://doi.org/10.1023/a:1011289701371
Publikováno v:
Autonomous Agents and Multi-Agent Systems. 4:93-114
With the tremendous amount of information that becomes available on the Web on a daily basis, the ability to quickly develop information agents has become a crucial problem. A vital component of any Web-based information agent is a set of wrappers th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44878ff903da0c039ae26a7f3b8386b1
https://doi.org/10.1023/a:1010022931168
https://doi.org/10.1023/a:1010022931168
Publikováno v:
Autonomous Agents and Multi-Agent Systems. 4:115-129
Increasingly, multi-agent systems are being designed for a variety of complex, dynamic domains. Effective agent interactions in such domains raise some of the most fundamental research challenges for agent-based systems, in teamwork, multi-agent lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f58584088b028d6afebb6d74f949b8b2
https://doi.org/10.1023/a:1010027016147
https://doi.org/10.1023/a:1010027016147
Autor:
Ali Erdem, Stacy Marsella, Yaser Al-Onaizan, Gal A. Kaminka, Ion Muslea, Milind Tambe, Jafar Adibi
Publikováno v:
Artificial Intelligence. 110(2):215-239
Multi-agent collaboration or teamwork and learning are two critical research challenges in a large number of multi-agent applications. These research challenges are highlighted in RoboCup, an international project focused on robotic and synthetic soc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff44f163c77998dfe37f4c5487f6f3f9