Mettre en scène l'activité : les nouvelles figures de la simulation De la modélisation de l'activité humaine à la modélisation pour la simulation sociale : entre réalisme et fécondité technologique
Approximating while compressing lookup tables (LUT) with a set of neural networks (NN) is an emerging trend in safety critical systems, such as control/command or navigation systems. Recently, as an example, many research papers have focused on the ACAS Xu LUT compression. In this work, we explore how to make such a compression while preserving the system safety and offering adequate means of certification.
Abstract:This paper presents a multi-agent model and simulator for the investigation of inhabitants' behaviour in relation with energy consumption in a household, at a fine-grain level. We present the meta-model that allows non-computer specialists to define the household activities, and the SMACH simulator that helps specialists analyse behaviour and manage and control energy consumption. We illustrate on concrete example scenarios how the system's adaptation mechanisms allow us to outline behavioural patterns.
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