Title :
Hybrid intelligent architecture for real time processing
Author :
Averbukh, Anatoliy B.
Author_Institution :
America Online, USA
Abstract :
The paper deals with the development of a hybrid intelligent architecture intended for work in complex real time client-server environment. The environment can be characterized as an environment with restricted time for making a response. Existing technologies cannot provide robust and intelligent solution, and traditional hybrid intelligent systems are not suitable, because of performance requirements. New architecture of a hybrid intelligent processing based on metaphor of “constructor” acting in an active environment is proposed for support of such real-time applications. The architecture provides integration of imperative high-level actions of an intelligent agent with work of active elements possessing own behavior and based on recurrent (neural) networks schemes. Methods for representation of the active environments are presented and operations on the schemes is developed. Application of developed architecture for building of servers are described
Keywords :
client-server systems; knowledge representation; object-oriented programming; real-time systems; recurrent neural nets; software agents; client-server systems; intelligent agent; intelligent architecture; knowledge representation; object oriented programming; real time systems; recurrent neural networks; Assembly; Buildings; Hybrid intelligent systems; Instruments; Intelligent agent; Knowledge representation; Network servers; Real time systems; Robust control; Robustness;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.830820