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A Hybrid Intelligent Multiagent System for E‐Business
Author(s) -
Wickramasinghe L. K.,
Amarasiri R.,
Alahakoon L. D.
Publication year - 2004
Publication title -
computational intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 52
eISSN - 1467-8640
pISSN - 0824-7935
DOI - 10.1111/j.0824-7935.2004.00256.x
Subject(s) - computer science , domain (mathematical analysis) , multi agent system , intelligent agent , cluster analysis , distributed computing , artificial intelligence , domain knowledge , the internet , data mining , world wide web , mathematical analysis , mathematics
The paper describes a new multiagent system with enhanced capabilities obtained through a hybrid of intelligent techniques. The processing in the model is handled by two types of agents: distributed agents and a central administrator agent. Localized processing at the individual agents is carried out using mathematical techniques and genetic algorithms. The central administrator agent dynamically obtains information about the problem domain from the Internet and maintains a knowledge pool using a clustering technique called the growing self‐organizing map (GSOM). Distributed agents communicate with the central administrator agent if they need further knowledge about the problem domain to provide solutions to user‐defined tasks. The approach integrates traditional mathematical, data mining, and evolutionary techniques with a multiagent system. The proposed system is implemented as a travel optimizer application for the e‐tourism domain. Finally, the possibilities of integrating the proposed technique with currently available e‐tourism applications to provide the customer with enhanced solutions are identified.