A Generic Intelligent Network Model

G. Németh (Hungary)


Intelligent networks, distributed systems, information processing models


The next generation of intelligent networks will provide information processing, retrieval and transfer services for the user in a transparent way, including intelligence as pects of handling imprecise and inconsistent information as well. The processing nodes of the network may use various information processing models. Moreover, the structure of the network is dynamically changing because of failures and modifications. A dynamically varying mixture of static and dynamic task allocation may be used over inhomogeneous or homogeneous resource types. Such a system cannot be handled by the classical models. In the generic model proposed four basic information processing models are defined: control, data, demand and information driven models and the network may use any combination of them. A knowledge based generic model is presented for such a system, having logical, temporal and topological structures together with operations on these structures. A universal relational scheme of param eterized sets of objects of arbitrary and possibly varying types is introduced, taking also variables and topological structures into account, to represent precise and vague knowledge. By operations applied to the scheme further knowledge can be deduced and by functional queries facts can be interrogated. As illustrative examples applications to databases, pattern recognition and logical deduction are considered.Your paper should be in the same format as this file.

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