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

Author

Zhu, Fangming ; Guan, Shenguei

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore

Volume

5

fYear

2001

fDate

2001

Firstpage

3297

Abstract

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

Keywords

evolutionary computation; genetic algorithms; software agents; e-commerce; evolution features; evolving; evolving software agents; genetic programming; learning; software agents; Collaboration; Computer industry; Ecosystems; Electronic commerce; Electronics industry; Genetic programming; Internet; Promotion - marketing; Protection; Software agents;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 2001 IEEE International Conference on

Conference_Location

Tucson, AZ

ISSN

1062-922X

Print_ISBN

0-7803-7087-2

Type

conf

DOI

10.1109/ICSMC.2001.972028

Filename

972028