Namatame and Sasaki (1998) provide a model for investigating
collective behaviors that emerge from local interaction among self-interested
agents. Most of the existing research work on e-commerce agents focuses on evolving
strategies for agents, extending the MAS approaches. Gimenez-Funes, Lgodo,
Rodriquez-Aguilar, and Garcia-Calves (1998) use possibility-based and case-based
decision models to design the bidding strategies for agents in electronic auctions.
Richter, Sheble, and Ashlock (1999) develop bidding strategies which are used for
electric utilities in the scenario of double auctions.
Sheth and Maes (1993) design a population of personalized information filtering
agents. These agents will recommend news articles to the user based on the user??™s
interest. Users will give each recommended article a certain score. A relevant article
will receive a higher score than an irrelevant one. After a certain number of
iterations, the more successful agent will be retained and be allowed to reproduce
while the unfit ones are killed. In Yu, Koo, and Liddy (2000), the authors describe a
neuro-genetic approach to develop an MAS which forages as well as meta-searches
for multi-media information in online information sources.
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