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Using Negotiation Techniques as Time-Restricted Scheduling Policies on Intelligent Agents

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Multi-Agent Systems and Applications IV (CEEMAS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3690))

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Abstract

Tasks scheduling policies for real-time systems are generally not very flexible due to the time restrictions they have to fulfill. Nowadays, research lines to apply artificial intelligence techniques to real-time systems are becoming more relevant, because they can be used to soften tasks scheduling. In this work, we present a proposal in this line. That is, to apply negotiation techniques to optimize real-time systems decisions by increasing and improving the available information to schedule the tasks of an intelligent agent working in a real-time environment. To implement our proposal, we have used an agent working in a hard real-time environment such as \({\mathcal ARTIS}\) (A Real-Time Intelligence System). Finally, we show some results obtained of including such methods in an \({\mathcal ARTIS}\) agent.

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© 2005 Springer-Verlag Berlin Heidelberg

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Maldonado, P., Carrascosa, C., Botti, V. (2005). Using Negotiation Techniques as Time-Restricted Scheduling Policies on Intelligent Agents. In: Pěchouček, M., Petta, P., Varga, L.Z. (eds) Multi-Agent Systems and Applications IV. CEEMAS 2005. Lecture Notes in Computer Science(), vol 3690. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559221_72

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  • DOI: https://doi.org/10.1007/11559221_72

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29046-9

  • Online ISBN: 978-3-540-31731-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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