Bidding and allocation in combinatorial auctions
Proceedings of the 2nd ACM conference on Electronic commerce
Combinatorial Auctions
Winner determination for mixed multi-unit combinatorial auctions via petri nets
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Bidding languages for combinatorial auctions
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
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The classical setting of query answering either assumes the existence of just one knowledge requester, or the knowledge requests from different parties are treated independently from each other. This assumption does not always hold in practical applications where requesters often are in direct competition for knowledge. We propose a formal model for this type of scenario by introducing the Multi-Agent Knowledge Allocation (MAKA) setting which combines the fields of query answering in information systems and multi-agent resource allocation.