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SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
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KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
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SOCASE '09 Proceedings of the AAMAS 2009 International Workshop on Service-Oriented Computing: Agents, Semantics, and Engineering
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TADA/AMEC'06 Proceedings of the 2006 AAMAS workshop and TADA/AMEC 2006 conference on Agent-mediated electronic commerce: automated negotiation and strategy design for electronic markets
Intelligent Agent Based Model for Auction Service Discovery in Mobile E-Commerce
International Journal of E-Business Research
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Mediation between buyers (service requester's agents) and sellers (service provider's agents) is one of the most difficult problems in real electronic markets In this paper, we propose an economic approach to solving this problem combined with AI (Artificial Intelligence) concepts Firstly, we enable provider agents to dynamically and autonomously advertise semantic descriptions of available services by proposing a new auction model based on Pay-Per-Click advertising auctions We call it the Semantic Pay-Per-Click Agent (SPPCA) auction Requester agents then use two-level filtration of the advertised services to efficiently discover eligible services In the first level of filtration, a semantic-based mechanism for matchmaking between services requested by buyers and those advertised by sellers is applied Services which pass the first level of filtration are then considered on the second level Here information regarding the actual performance of service providers is considered in conjunction with the prices bid by service provider's agents in the SPPCA auction A final set of advertised services is then chosen and proposed to the buyer agent as an answer to its request.