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Download Agent and Multi-agent Technology for Internet and Enterprise by Mario Kusek, Kresimir Jurasovic (auth.), Anne Hãkansson, PDF

By Mario Kusek, Kresimir Jurasovic (auth.), Anne Hãkansson, Ronald Hartung, Ngoc Thanh Nguyen (eds.)

Research in multi-agent structures bargains a promising know-how for issues of networks, on-line buying and selling and negotiations but in addition social buildings and verbal exchange. it is a ebook on agent and multi-agent know-how for net and firm structures. The ebook is a pioneer within the mixture of the fields and relies at the proposal of constructing a platform to percentage principles and provides study in expertise within the box and alertness to genuine difficulties. The chapters variety over either functions, illustrating the potential makes use of of brokers in an firm area, and layout and analytic equipment, had to give you the stable origin required for sensible systems.

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KES 2003. LNCS, vol. 2774, pp. 675–682. Springer, Heidelberg (2003) 17. : Evolution of operation support systems in public data networks. In: Proceedings of the 5th IEEE Symposium on Computers & Communications, pp. 72–77 (2000) 18. : Advanced adaptability and profile management framework for the support of flexible mobile service provision. Special Issue on (R)Evolution towards 4G Mobile Communication Systems 10(4) (August 2003) 19. : Multi–agent remote maintenance shell for remote software operations.

IT Pro 6, 38–43 (2001) 5. : Multi-agent systems performance by adaptive/non-adaptive agent selection. In: IAT 2006: Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology, pp. 555–559. IEEE Computer Society, Washington (2006) 22 M. Kusek et al. 6. : A model of massively parallel call and service processing in telecommunications. J. Syst. Archit. 43(6-7), 479–490 (1997) 7. : Sequential optimality and coordination in multiagent systems. In: Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, pp.

Key performance measures are configuration or reconfiguration set-up time with respect to the establishment of a system, and response time and throughput with respect to system operation. Proposed is an approach based on a genetic algorithm to optimize system establishment strategies which distribute service resources to system nodes and use agents to deploy them. Network topology and link capacity, as well as node capacity, are taken into account. Simulations are used to evaluate the proposed approach.

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