Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
An agent-based approach for building complex software systems
Communications of the ACM
Multi-Agent Multi-User Modeling in I-Help
User Modeling and User-Adapted Interaction
MASACAD: A Multiagent-Based Approach to Information Customization
IEEE Intelligent Systems
Journal of Artificial Intelligence Research
Vote and aggregation in combinatorial domains with structured preferences
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Making decisions based on the preferences of multiple agents
Communications of the ACM
An Empirical Study of the Manipulability of Single Transferable Voting
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
AutoTutor: an intelligent tutoring system with mixed-initiative dialogue
IEEE Transactions on Education
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Course-offering determination (COD) for educational programs is the complex task of deciding what subset of courses an academic department or program should offer in a given academic term or semester. In this paper, we first model COD decision settings, e.g. modeling students as a group of self-interested agents, and then use a group decision-making protocol voting theory to aggregate the preferences of the different participants toward a single joint decision. Finally, we show how agent-to-agent negotiation techniques can be used to offer courses to mutual benefit between the department and the body of the students.