Theoretical foundation of a knowledge-based intelligent network model

The next generation of intelligent systems 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. The information to be handled extends beyond the traditional fixed type precise and deterministic information, approximating the ones used in natural languages. 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 architecture proposed 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 processing nodes may employ any mix of the four basic information processing models (control, data, demand and information driven models). 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.