Operations Research
Probabilistic inference and influence diagrams
Operations Research
Communications of the ACM
The Intelligent Helpdesk: Supporting Peer-Help in a University Course
ITS '98 Proceedings of the 4th International Conference on Intelligent Tutoring Systems
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
An Influence Diagram Model for Multi-Agent Negotiation
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Benefits of learning in negotiation
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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We have designed a computational architecture for a "learning economy" based on personal software agents who represent users in a virtual society and assist them in finding learning resources and peer help. In order to motivate users to participate, to share their experience, offer help and create online learning resources, payment is involved in virtual currency and the agents negotiate for services and prices, as in a free market. We model negotiation among personal agents by means of an influence diagram, a decision theoretic tool. In addition, agents create models of their opponents during negotiation to predict opponent actions. Simulations and an experiment have been carried out to test the effectiveness of the negotiation mechanism and learning economy.