Abstract
Networks are the mainstay of modern-day communications. Their use in transporting voice, pictures, and data is constantly increasing. Applications in the areas of computer communications, teleprocessing, and teleconferencing are finding wide markets. The thrust of current research in communication networks is lower costs. Attempts to integrate voice and data, exploit optical fibres and satellite technology, and optimize network topologies and hardware are steps in this direction. This work attempts to apply the current paradigms in Artificial Intelligence research to the problems in network optimization. The experience AI researchers have gained in organizing and using knowledge to solve problems (Ref. 1,2) is especially relevant in this work.
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© 1986 Springer-Verlag Berlin Heidelberg
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Malhotra, R., Chao, K., Mowafi, O. (1986). A Knowledge-Based System for Network Communication Design. In: Sriram, D., Adey, R. (eds) Applications of Artificial Intelligence in Engineering Problems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-21626-2_74
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DOI: https://doi.org/10.1007/978-3-662-21626-2_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-21628-6
Online ISBN: 978-3-662-21626-2
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