Agent Technology for Communication Infrastructures

Description

Agent Technology is a fast growing area of research in Artificial Intelligence and Computer Science. Agents are autonomous problem-solving entities residing in an environment able to solve problems, roam network infrastructures, adapt to changes in their environment an interact with other agents. Offering a useful snapshot of the current status of the field, this text focuses sharply on the upcoming convergence of intelligent software and communications systems. * Contributions from leading authorities in the field covering a wide range of issues, * Demonstrates the increased capabilites of agents that are not currently achievable using traditional standards-based network signalling. This valuable reference resource is essential reading for researchers or practitioners interested in applying agent technology or in business to develop next generation distributed applications, as well as scientists and engineers in R & D departments and lecturers and researchers in telecommunications and computer science.Content: Chapter 1 Agent Technology for Communications Infrastructure: An Introduction (pages 1–18): S. J. Poslad, R. A. Bourne, A. L. G. Hayzelden and P. BuckleChapter 2 An Agent?based Platform for Next?Generation IN Services (pages 19–31): D. Kerr, R. Evans, J. Hickie, D. O'Sullivan and S. MathewsChapter 3 Java Framework for Negotiating Management Agents (pages 32–40): O. Krone, B. T. Messmer, H. Almiladi and T. CurranChapter 4 Adaptive QoS Management via Multiple Collaborative Agents (pages 41–58): A. BordetskyChapter 5 Agent?Mediated Trading: Intelligent Agents and E?Business (pages 59–76): M. KluschChapter 6 Distributed Control of Connection Admission to a Telecommunications Network: Security Issues (pages 77–89): J. Bigham, A. L. G. Hayzelden, J. Borrell and S. RoblesChapter 7 Secure Payments within an Agent?Based Personal Travel Market (pages 90–101): R. KerkdijkChapter 8 Multi?Agent Solution for Virtual Home Environment (pages 102–110): N. Fujino, Y. Matsuda, T. Nishigaya and I. IidaChapter 9 Virtual Home Environments to Be Negotiated by a Multi?Agent System (pages 111–121): S. Lloyd, A. L. G. Hayzelden and L. G. CuthbertChapter 10 Self?Adaptation for Performance Optimisation in an Agent?Based Information System (pages 122–143): C. GerberChapter 11 Flexible Decentralised Control of Connection Admission (pages 144–155): J. Bigham, L. G. Cuthbert, A. L. G. Hayzelden and Z. LuoChapter 12 Low?Level Control of Network Elements from an Agent Platform (pages 156–166): M. Hansen, P. Jensen, J. Soldatos and E. VayiasChapter 13 A Multi?Agent Approach to Dynamic Virtual Path Management in ATM Networks (pages 167–184): P. Vila, J. L. Marzo, R. Fabregat and D. HarleChapter 14 A Multi?Agent Approach for Channel Allocation in Cellular Networks (pages 185–196): E. L. Bodanese and L. G. CuthbertChapter 15 Predicting Quality?of?Service for Nomadic Applications Using Intelligent Agents (pages 197–208): P. Misikangas, M. Makela and K. RaatikainenChapter 16 Implementation of Mobile Agents for WDM Network Management: The OPTIMA Perspective (pages 209–221): D. Rossier?Ramuz and R. ScheurerChapter 17 How to Move Mobile Agents (pages 222–233): P. Alimonti, F. Lucidi and S. TrigilaChapter 18 Market?Based Call Routing in Telecommunications Networks Using Adaptive Pricing and Real Bidding (pages 234–248): M. A. Gibney, N. R. Jennings, N. J. Vriend and J. M. GriffithsChapter 19 IN Load Control Algorithms for Market?Based Multi?Agent Systems (pages 249–265): A. Patel, J. Barria and J. PittChapter 20 Victor – Proactive Fault Tracking and Resolution in Broadband Networks Using Collaborative Intelligent Agents (pages 266–274): J. Odubiyi, G. Bayless and E. RubertonChapter 21 Efficient Means of Resource Discovery Using Agents (pages 275–286): S. Sugawara, K. Yamaoka and Y. SakaiChapter 22 Evolving Routing Algorithms with Genetic Programming (pages 287–294): E. Luckschandl