Evolving software agents in e-commerce with GP operators and knowledge exchange

Fangming Zhu*, Sheng Uei Guan

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)


Agent-based electronic commerce (e-commerce) has attracted more and more efforts in academic and industrial fields. However, little work has been devoted to exploring the learning and evolving capability of software agents. This paper addresses issues of evolving software agents in e-commerce. Agent structure and organization are introduced to facilitate the evolution process, and agent fitness and life cycle are employed as evolution mechanisms. Two approaches are proposed to equip agents with evolution features. One approach is to use Genetic Programming (GP) operators to restructure agents. Another one is to enhance the knowledge of agents by exchanging with other agents.

Original languageEnglish
Pages (from-to)3297-3302
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Publication statusPublished - 2001
Externally publishedYes
Event2001 IEEE International Conference on Systems, Man and Cybernetics - Tucson, AZ, United States
Duration: 7 Oct 200110 Oct 2001

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