Knowledge-based Generic Intelligent Distributed System Model

G. Németh (Hungary)


mathematical modelling, agent-based modelling, knowledge-based systems


: The next generation of intelligent systems provides information processing, retrieval and transfer services for an arbitrary number of users in a transparent way. The architecture pro- posed is based on the demand driven information-processing model with static or dynamic task allocation over inhomogeneous or homogeneous resource types and network structures. The system consists of processing nodes and intelligent switches. The processing nodes may employ any mix of the four basic information-processing models (control, data, demand and information driven models). The information to be handled extends beyond the traditional fixed type precise and deterministic information, approximating the ones used in natural languages. 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 intelligent system can be modelled as having logical, temporal and topological structures together with operations on these structures. The necessary mathematical concepts for modelling such a system are a universal hierarchical relational scheme of paraterised sets of objects of arbitrary types, logic functions, hierarchies of variables with their hierarchical control operators, and neighborhood/similarity structures to represent precise and imprecise knowledge. These concepts are then applied to define a knowledge module. By composition of knowledge modules and intelligent switches we obtain the generic intelligent system. Introducing a model time as a partially ordered set of events, an evolutionary system can be considered, both in its capabilities and structure. The services of the intelligent system are provided by intelligent mobile agents.

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