Many real-world applications are mapped into combinatorial problems. An example of such problem is timetable scheduling. In this case, the two basic characteristics can be defined by its distributed and dynamic environment. One efficient solution could be provided by an agent-based approach. A timetable scheduling problem can be modelled as a multi-agent system that provides the final schedule by taken into account all the restrictions. In this paper it is presented a preliminary research work that involves the development of a multiagent system for university course timetable scheduling. We focus on the architecture of the multi-agent system, and on the evaluation of the communication process, by using the interaction diagrams. Keywords: Artificial intelligence, Multi-agent systems, Timetable scheduling
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