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This paper presents a multiagent recommendation system (RecMAS) able to coordinate the interactions between a user agent (AgUser) and a set of commercial agents (AgComs). It provides a useful service for monitoring changes in the AgUser’s beliefs and decisions based on two parameters: (i) the strength of its own beliefs and (ii) the strength of the AgComs’ suggestions. The system was used to test several commercial activities in a shopping centre where the AgComs provided information to an AgUser operating in a wireless device (PDA, mobile phone, etc.) used by the client. The AgUser received messages adapted to the preferences of the client. Using a theoretical model and a set of simulation experiments, several commercial strategies were obtained. This paper concludes with a presentation of a prototype in a real shopping centre.

A formal approach to test commercial strategies: comparative study using multiagent-based techniques