Knowledge-Based Generic Intelligent Network Model

摘要

The next generation of intelligent networks provides information processing,retrieval and transfer services for an arbitrary number of users in a transparent way.The structure of large networks is dynamically changing because of failures and modifications.Besides,it must support user mobility as well.Such a system cannot be handled by the classical models.The architecture proposed is based on the demand-driven information-processing model.The task allocation can be both static or dynamic over inhomogeneous or homogeneous resource types and net- work structures.The processing nodes may employ any mix of the four basic information-processing models(control-,data-, demand-and information-driven models).Such an intelligent network can be modelled as having logical,temporal and topo- logical structures together with operations on these structures. We introduce a universal relational scheme of parameterized sets of objects of arbitrary types,taking also variables and topological structures into account,to represent precise and imprecise(vague)knowledge.By operations applied to the scheme further knowledge can be deduced and by functional queries facts can be interrogated.These concepts are then applied to define a knowledge module.By composition of knowledge modules and intelligent switches we obtain the generic intelligent network.Introducing a model time as a partially ordered set of events,an evolutionary system can be considered, both in its capabilities and active structure.The services of the intelligent network are provided by intelligent mobile agents.