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SPSC: a new execution policy for exploring discrete-time stochastic simulations

Abstract : In this paper, we introduce a new method called SPSC (Simulation, Partitioning, Selection, Cloning) to estimate efficiently the probability of possible solutions in stochastic simulations. This method can be applied to any type of simulation, however it is particularly suitable for multi-agent-based simulations (MABS). Therefore, its performance is evaluated on a well-known MABS and compared to the classical approach, i.e., Monte Carlo.
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https://hal.archives-ouvertes.fr/hal-03217343
Contributor : David Mercier <>
Submitted on : Tuesday, May 4, 2021 - 5:53:08 PM
Last modification on : Friday, September 10, 2021 - 6:08:02 PM
Long-term archiving on: : Thursday, August 5, 2021 - 8:06:23 PM

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Yu-Lin Huang, Gildas Morvan, Frédéric Pichon, David Mercier. SPSC: a new execution policy for exploring discrete-time stochastic simulations. 22nd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2019, Oct 2019, Torino, Italy. ⟨10.1007/978-3-030-33792-6_42⟩. ⟨hal-03217343⟩

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