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Multi-agent Reactive Planning for Solving Plan Failures

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Hybrid Artificial Intelligent Systems (HAIS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8073))

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Abstract

In this paper we present a multi-agent reactive planning mechanism for recovering from plan failures with the help of multiple agents. Our contribution is twofold: a proposal of a dynamic execution architecture embedded into a more general multi-agent planning framework, and a mechanism based on state-transition systems that allows execution agents to reactively and cooperatively attend a plan failure during execution. Specifically, we propose a flexible dynamic execution architecture that allows agents to find solutions for a successful plan execution during a plan failure.

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Guzmán-Alvarez, C., Castejon, P., Onaindia, E., Frank, J. (2013). Multi-agent Reactive Planning for Solving Plan Failures. In: Pan, JS., Polycarpou, M.M., Woźniak, M., de Carvalho, A.C.P.L.F., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2013. Lecture Notes in Computer Science(), vol 8073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40846-5_53

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  • DOI: https://doi.org/10.1007/978-3-642-40846-5_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40845-8

  • Online ISBN: 978-3-642-40846-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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