Title :
ILS: A system of learning distributed heterogeneous agents for network traffic management
Author :
Silver, Bernard ; Frawley, William ; Iba, Glenn ; Vittal, John
Author_Institution :
GTE Lab. Inc., Waltham, MA, USA
Abstract :
Integrated Learning System (ILS) is a framework for integrating several distributed heterogeneous learning agents that cooperate to improve problem-solving performance. The agents learn both independently and cooperatively. Each agent has been tested independently using telecommunications traffic control as a domain, and each has demonstrated that it can learn by interacting with that domain. At present, ILS is being extensively tested using the same domain, and the initial results are very promising
Keywords :
learning systems; problem solving; telecommunication congestion control; telecommunication network management; ILS; Integrated Learning System; distributed heterogeneous learning agents; network traffic management; problem-solving performance; telecommunications traffic control; Artificial intelligence; Communication system traffic control; Disaster management; Expert systems; Humans; Intelligent networks; Switches; Telecommunication control; Telecommunication traffic; Traffic control;
Conference_Titel :
Communications, 1993. ICC '93 Geneva. Technical Program, Conference Record, IEEE International Conference on
Conference_Location :
Geneva
Print_ISBN :
0-7803-0950-2
DOI :
10.1109/ICC.1993.397603