Authors: Strnad, Damjan; Guid, Nikola

Source: Applied Artificial Intelligence, Volume 21, Number 2, February 2007 , pp. 137-153(17)

Publisher: Taylor and Francis Ltd

Abstract:

In the paper, we present a new architecture and implementation of a multi-agent system for university timetable generation. Agents as representatives of individual courses have the task of allocating the necessary human and technical resources through negotiation. We define the negotiation protocol and describe autonomous decisions of agents within the prescribed framework. The advantages of the multi-agent approach are a direct resolution of conflicts, strategic versatility of negotiation, and natural representation of some real-life problems.

Document Type: Research article

DOI: http://dx.doi.org/10.1080/08839510601147554

Affiliations: 1: Department of Computer Science, University of Maribor, Maribor, Slovenia

Publication date: 2007-02-01

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