By Ghazi Alkhatib
Lately, the rising box of agent applied sciences has develop into mainstream in internet engineering. With consistent box advancements and updates, a reference resource is required that displays the elevated scope of agent expertise program domain names and improvement practices and instruments. Agent applied sciences and net Engineering: functions and structures provides the most recent instruments and functions addressing serious concerns concerned with details know-how and net engineering study. overlaying subject matters comparable to next-generation networks, XML question processing, and Semantic net providers, this booklet presents state-of-the-art study for practitioners and academicians concerned about agent know-how and net engineering fields.
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Additional info for Agent Technologies and Web Engineering: Applications and Systems (Advances in Information Technology and Web Engineering Book)
For instance, the 40% of the requests that were satisfied with the use of Absolute ranking metrics achieved an average performance of up to 45%; the average performance of the same 40% of the requests that were satisfied with the use of Relative ranks was up to 62%. This difference in performance can be justified by taking into account the nature of the ranking metrics that form each ranking category: Absolute ranks present an absolute measurement, which would be the same within the given network, irrelevant Table 4.
Intelligent Software Agents In vast and dynamic pervasive computing environments, it is hard for users to identify and activate services that match their needs (Lindberg, Pasman, Kranenborg, Stegeman, & Neerincx, 2007). In the designed multi-agent system, intelligent software agents, supported by AI mechanisms— semantic-aware matchmaking and negotiating mechanisms (Podobnik, Trzec, & Jezic, 2006; Tang, 2004—are used to impersonate consumers, network operators, and content providers in the volatile and heterogeneous environment of the NGN in order to enable automated interaction and coordination.
107-117). Elsevier Science Publishers. , & Bornholdt, S. (2002). Scale-free topology of email networks. Physical Review, E(66), 035103. , & Faloutsos, C. (1999). On power-law relationships of the Internet topology. In SIGCOMM ’99: Proceedings of the Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication (pp. 251-262). New York: ACM Press. Garfield, E. (1972). Citation analysis as a tool in journal evaluation. Science, 178(60), 471-479. , & Gil, Y. (2004).