"\u010Cl\u00E1nek popisuje decentralizovan\u00FD mechanismus pro v\u00FDb\u011Br slu\u017Eeb v konkuren\u010Dn\u00EDm prost\u0159ed\u00ED s omezen\u00FDmi zdroji."@cs . . "1"^^ . "Service selection in an SOA is primarily based on matching functional requirements to those advertised by the services. The focus of this paper is on selecting, from those functionally capable services, the best service in terms of its non-functional attributes. We propose an adaptive multi-agent framework, Mercury, which involves collaborative modelling of the service landscape based on consumer experience of service quality. The framework introduces several mechanisms to enable the system to be adaptive, and thus effective in highly dynamic scenarios. In particular, different strategies of information exchange between selector agents are investigated with the aim of maximising the speed of adaptation while minimising unfavourable competition between consumers."@en . "Mercury: Multi-Agent Adaptive Service Selection" . . "Mercury: Multi-Agent Adaptive Service Selection" . "Jacksonville" . "Mercury: Multi-agentn\u00ED adaptivn\u00ED v\u00FDb\u011Br slu\u017Eeb"@cs . "978-1-904521-43-3" . . "London" . "Z(MSM6840770038)" . "Mercury: Multi-Agent Adaptive Service Selection"@en . . "10"^^ . "Proceedings of the 2nd International Workshop on Engineering Emergence in Decentralised Autonomic Systems" . "Mercury: Multi-agentn\u00ED adaptivn\u00ED v\u00FDb\u011Br slu\u017Eeb"@cs . "2007-06-11+02:00"^^ . "Saffre, F." . "22;31" . . . "RIV/68407700:21230/07:03131911" . . "Service-oriented architectures; autonomic computing; distributed systems; service selection"@en . . . . . "432792" . . . "The University of Greenwich" . "Jakob, Michal" . . "21230" . . "[0FD534922832]" . "Service selection in an SOA is primarily based on matching functional requirements to those advertised by the services. The focus of this paper is on selecting, from those functionally capable services, the best service in terms of its non-functional attributes. We propose an adaptive multi-agent framework, Mercury, which involves collaborative modelling of the service landscape based on consumer experience of service quality. The framework introduces several mechanisms to enable the system to be adaptive, and thus effective in highly dynamic scenarios. In particular, different strategies of information exchange between selector agents are investigated with the aim of maximising the speed of adaptation while minimising unfavourable competition between consumers." . "Healing, A." . "3"^^ . "RIV/68407700:21230/07:03131911!RIV08-MSM-21230___" . . "Mercury: Multi-Agent Adaptive Service Selection"@en . .