Abstract
In safety-critical scenarios, the compliance with strict-timing constraints is mandatory. This demo presents a simulator named MAXIM-GPRT enabling the analysis of the behaviors produced by Multi-Agent Systems (MAS) composed of both General-Purpose (GP) and Real-time (RT) algorithms. Therefore, MAXIM-GPRT is crucial to prove that current MAS cannot provide timing guarantees, nor guarantee correct behaviors in the worst case scenario. However, adopting and adapting models and algorithms from RT systems, such a compliance, can be achieved.
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Values computed according to a uniform probability distribution.
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Due to space limitations only (i) and (ii) have been shown.
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Albanese, G., Calvaresi, D., Sernani, P., Dubosson, F., Dragoni, A.F., Schumacher, M. (2018). MAXIM-GPRT: A Simulator of Local Schedulers, Negotiations, and Communication for Multi-Agent Systems in General-Purpose and Real-Time Scenarios. In: Demazeau, Y., An, B., Bajo, J., Fernández-Caballero, A. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Lecture Notes in Computer Science(), vol 10978. Springer, Cham. https://doi.org/10.1007/978-3-319-94580-4_23
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DOI: https://doi.org/10.1007/978-3-319-94580-4_23
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Online ISBN: 978-3-319-94580-4
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