Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Designing organizations for computational agents
Simulating organizations
Agent UML: a formalism for specifying multiagent software systems
First international workshop, AOSE 2000 on Agent-oriented software engineering
The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
Programming deliberative agents for mobile services: the 3APL-M platform
ProMAS'05 Proceedings of the Third international conference on Programming Multi-Agent Systems
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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) providing 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 (AgComs) provided information to an AgUser operating in a wireless device (PDA, mobile phone, etc.) used by a client. The AgUser received messages adapted for conditions of particular offers of interest to the client. Using a theoretical model and a set of simulation experiments, commercial strategies in relation with the socio-dynamics of the system were obtained. This paper concludes with a presentation of a prototype in a real shopping centre.