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Software agents help automate a variety of tasks including those involved in buying and selling products over the Internet. This paper surveys several of these agent-mediated electronic commerce systems by describing their roles in the context of a Consumer Buying Behavior (CBB) model. The CBB model we present augments traditional marketing models with concepts from Software Agents research to accommodate electronic markets. We then discuss the variety of Artificial Intelligence techniques that support agent mediation and conclude with future directions of agent-mediated electronic commerce research.

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Amalthaea is an evolving, multiagent ecosystem for personalized ltering, discovery and monitoring of information sites. Amalthaea's primary application domain is the World-Wide-Web and its main purpose is to assist its users in nding interesting information. Two di erent categories of agents are introduced in the system: ltering agents that model and monitor the interests of the user and discovery agents that model the information sources. A market-like ecosystem where the agents evolve, compete and collaborate is presented: agents that are usefull to the user or other agents reproduce while low-performing agents are destroyed. Results from various experiments with di erent system con gurations and varying ratios of user interests vs agents in the system are presented. Finally issues like ne-tuning the initial parameters of the system and establishing and maintaining equilibria in the ecosystem are discussed.