Satisfying user preferences while negotiating meetings
International Journal of Human-Computer Studies - Special issue: group support systems
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AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Learning Dynamic Preferences in Multi-Agent Meeting Scheduling
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
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Learning to improve negotiation in semi-cooperative agreement problems
Learning to improve negotiation in semi-cooperative agreement problems
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International Journal of Intelligent Information Technologies
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International Journal of Intelligent Information Technologies
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International Journal of Intelligent Information Technologies
International Journal of Intelligent Information Technologies
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International Journal of Intelligent Information Technologies
International Journal of Intelligent Information Technologies
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Meeting Scheduling Problem MSP arranges meetings between a number of participants. Reaching consensus in arranging a meeting is very diffuclt and time-consuming when the number of participants is large. One efficient approach for overcoming this problem is the use of multi-agent systems. In a multi-agent system, agents are deciding on behalf of their users. They must be able to elicite their users' preferences in an effective way. This paper focuses on the elicitation of users' preferences. Analytical hierarchy process AHP-which is known for its ability to determine preferences-is used in this research. Specifically, an adaptive preference modeling technique based on AHP is developed and implemented in a system and the initial validation results are encouraging.