Electronic calendars are important tools that are used by consumers on a daily basis. However, scheduling a meeting that involves persons with different commitments and preferences remains a difficult task. Meeting scheduling is difficult because current calendaring applications cannot handle the responsibility of automatically and autonomously managing time slots. This paper presents a distributed multi-agent system architecture in which each person is represented by an agent. These agents automatically and autonomously work together to assist different users to book meetings on their behalf. Each agent has the capability to manage, negotiate and schedule tasks, meetings, events, appointments for its assigned user. In this multi-agent system, the agents coordinate their activities and negotiate on behalf of their associated users to find a solution that satisfies the users' meeting requirements and preferences. A prototype of this system is implemented to demonstrate how the agents can automatically book meetings.
Scheduling a meeting that involves persons with different commitments and preferences is a difficult task. This paper presents a multi-agent system in which each person is represented by an agent. Each agent has its own capabilities to manage, negotiate and schedule tasks, meetings, events, appointments for its assigned user. In this multi-agent system, the agents coordinate their activities and negotiate on behalf of their associated users to find a solution that satisfies the users' desires. A prototype is implemented and evaluation of preliminarily results is demonstrated.
Managing personal meetings and events is a complicated task. It becomes more problematic when a person has numerous meetings or events in their schedule. One of the challenges of managing meetings is to find a proper meeting time when a conflict occurs. This paper presents negotiation strategies for an agentbased meeting scheduling system to automatically solve meeting conflicts. These relieve the user from having to find free meeting times manually. The agent will utilize these negotiation strategies to find an acceptable time slot that best fits the constraints and preferences for its user. A prototype is implemented and demonstrated.
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