Abstract
The multi-agent systems in Artificial Intelligence very often include task allocation problems. These problems are arduous to be modelled; therefore it is also difficult to end up with an optimal allocation plan. AgentAllocator is an easy to use, platform independent application, which implements a multi-criteria method to support the decision of Task Allocation. The decision maker is able to model the problem (according to his policy) through its inputs dialogs and employ the final solution proposed by the system. In this paper, both the theoretical background of AgentAllocator and the DSS itself are presented.
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Matsatsinis, N.F., Delias, P. (2003). AgentAllocator: An Agent-Based Multi-criteria Decision Support System for Task Allocation. In: MaÅ™Ãk, V., McFarlane, D., Valckenaers, P. (eds) Holonic and Multi-Agent Systems for Manufacturing. HoloMAS 2003. Lecture Notes in Computer Science(), vol 2744. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45185-3_21
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DOI: https://doi.org/10.1007/978-3-540-45185-3_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40751-5
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