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. © 2013 Springer-Verlag.
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Guzmán-Alvarez, C., Castejon, P., Onaindia, E., & Frank, J. (2013). Multi-agent reactive planning for solving plan failures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8073 LNAI, pp. 530–539). https://doi.org/10.1007/978-3-642-40846-5_53
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