A formal study of distributed meeting scheduling: preliminary results
COCS '91 Proceedings of the conference on Organizational computing systems
Satisfying user preferences while negotiating meetings
International Journal of Human-Computer Studies - Special issue: group support systems
Developing an Automated Distributed Meeting Scheduler
IEEE Expert: Intelligent Systems and Their Applications
Towards a Totally Distributed Meeting Scheduling System
KI '96 Proceedings of the 20th Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
DIET — A Scalable, Robust and Adaptable Multi-Agent Platform for Information Management
BT Technology Journal
DIET — A Scalable, Robust and Adaptable Multi-Agent Platform for Information Management
BT Technology Journal
Chronos: A multi-agent system for distributed automatic meeting scheduling
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
This paper introduces a novel approach of collective scheduling among a community of distributed users. This approach, named Distributed Adaptive Scheduling (DAS), deploys flexible, lightweight agents to quickly find and suggest suitable solutions of scheduling for a large number of users. The DAS agents can move from one machine to another to co-ordinate mutually acceptable solutions for a proposed meeting. They also possess behavioural intelligence, by making adaptive decisions about next actions according to current environment and conditions. As a consequence, quick and efficient scheduling can be achieved for users located at different places. Experimental results have proved that DAS is especially suitable for large-scale distributed scheduling, and scheduling with complex calendars. The DAS approach has been successfully integrated with a personal assistant agent platform to provide completely automatic meeting scheduling for both stationary and mobile users.