SPSC: an efficient, general-purpose execution policy for stochastic simulations
Résumé
In this paper, we present a stochastic simulation execution policy named SPSC from its different steps: Simulation, Partitioning, Selection, Cloning. It does not require prior knowledge on the model to be applied and allows one to estimate efficiently the probabilities of possible {simulation outcomes, so called solutions}. It is evaluated on three different multi-agent-based simulations. Results show that SPSC could be a relevant alternative to the Monte Carlo method.
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