Scheduling meetings with distributed local consistency reinforcement

Authors:
Ahlem Ben Hassine;Takayuki Ito;Tu Bao Ho
Affiliations:
School of Knowledge Science, Japan Advanced Institute of Science and Technology, Asahidai Tatsunokuchi-Machi, Japan;Graduate School of Engineering, Nagoya Institute of Technology, Gosiko, Showa-ku Nagoya, Japan;School of Knowledge Science, Japan Advanced Institute of Science and Technology, Asahidai Tatsunokuchi-Machi, Japan
Venue:
IEA/AIE'2004 Proceedings of the 17th international conference on Innovations in applied artificial intelligence
Year:
2004

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Agent-Based Approach to Dynamic Meeting Scheduling Problems

AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
An agent-based approach to solve dynamic meeting scheduling problems with preferences

Engineering Applications of Artificial Intelligence

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Abstract

Meeting scheduling (MS) is an important real-world problem. Solving this problem consists in scheduling all the meetings while satisfying all the constraints. However, human nature often has conflicting preferences. The majority of works, dealing with MS problem, allowed the relaxation of the preferences in order to reach an agreement between all the participants, but this is not always possible. To overcome this difficulty, the main contribution of our work consist in trying to satisfy as much as possible users' preferences while taking into consideration their availabilities, and this through a new approach based on the distributed reinforcement of arc consistency (DRAC) model. The new approach was implemented and the experimental results show that our approach is scalable and worthwhile to handle especially strong constraints.