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Abstract

Implementation of a large scale real time system like alarm processing involves realization of various objectives. These include methodology related objectives, domain related objectives, and management related objectives. The agent oriented analysis and design stages described in the last two chapters has provided the platform on which these objectives can be realized.

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References

  • Khosla, R. and Dillon, T. (1993), “Combined Symbolic-Artificial Neural Net Alarm Processing System,” — (deals with power system aspects of alarm processing), Eleventh Power Systems Computation Conference (PSCC), Avignon, France, pp. 259–266. Khosla, R. and Dillon, T. (1994), “A Distributed Real-Time Alarm Processing System with Symbolic-Connectionist Computation,” in Proceedings of the IEEE Workshop in Real Time Applications, Washington D.C., USA.

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  • Khosla, R. and Dillon, T. (1997), “Learning Knowledge and Strategy of a Generic Neuro-Expert System Architecture in Alarm Processing,” to appear in IEEE Transactions in Power Systems.

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  • Kohonen, T. (1990), “The self-organizing map,” Proceedings of the IEEE, vol. 78, no. 9, pp. 1464–1480. Khosla, R. and Dillon, T. (1997), “Learning Knowledge and Strategy of a

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  • Nexpert Object Manuals (1989), Neuron Data Inc. CA, USA.

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© 1997 Springer Science+Business Media New York

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Khosla, R., Dillon, T. (1997). RTAPS Implementation. In: Engineering Intelligent Hybrid Multi-Agent Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6223-8_12

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  • DOI: https://doi.org/10.1007/978-1-4615-6223-8_12

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7854-9

  • Online ISBN: 978-1-4615-6223-8

  • eBook Packages: Springer Book Archive

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