Multi-Agent Knowledge Allocation

Sebastian Rudolph 1 Madalina Croitoru 2
2 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Classical query answering either assumes the existence of just one knowledge requester, or knowledge requests from distinct parties are treated independently. Yet, this assumption is inappropriate in practical applications where requesters are in direct competition for knowledge. We define a bidding language based on exclusivity-annotated conjunctive queries.
Type de document :
Communication dans un congrès
Max Bramer and Miltos Petridis. AI'2012: 32nd SGAI International Conference on Artificial Intelligence, Dec 2012, Cambridge, United Kingdom. Springer, Research and Development in Intelligent Systems XXIX, pp.165-178, 2012, 〈http://www.bcs-sgai.org/ai2012/〉. 〈10.1007/978-1-4471-4739-8_12〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00763642
Contributeur : Bruno Paiva Lima da Silva <>
Soumis le : mardi 11 décembre 2012 - 11:22:03
Dernière modification le : jeudi 24 mai 2018 - 15:59:22

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Sebastian Rudolph, Madalina Croitoru. Multi-Agent Knowledge Allocation. Max Bramer and Miltos Petridis. AI'2012: 32nd SGAI International Conference on Artificial Intelligence, Dec 2012, Cambridge, United Kingdom. Springer, Research and Development in Intelligent Systems XXIX, pp.165-178, 2012, 〈http://www.bcs-sgai.org/ai2012/〉. 〈10.1007/978-1-4471-4739-8_12〉. 〈lirmm-00763642〉

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