454 research outputs found

    Multi-level agent-based modeling with the Influence Reaction principle

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    This paper deals with the specification and the implementation of multi-level agent-based models, using a formal model, IRM4MLS (an Influence Reaction Model for Multi-Level Simulation), based on the Influence Reaction principle. Proposed examples illustrate forms of top-down control in (multi-level) multi-agent based-simulations

    Engineering hierarchical complex systems: an agent-based approach. The case of flexible manufacturing systems

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    This article introduces a formal model to specify, model and validate hierarchical complex systems described at different levels of analysis. It relies on concepts that have been developed in the multi-agent-based simulation (MABS) literature: level, influence and reaction. One application of such model is the specification of hierarchical complex systems, in which decisional capacities are dynamically adapted at each level with respect to the emergences/constraints paradigm. In the conclusion, we discuss the main perspective of this work: the definition of a generic meta-model for holonic multi-agent systems (HMAS)

    Stratégies d'observation dans les simulations orientées agent

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    Extended version of Stratégies d'observation de simulations orientées agent, Actes des 17èmes Journées Francophones sur les Systèmes Multi-Agents (JFSMA'09), pp. 233-236National audienceL'observation de simulations orientées agent composées de nombreux agents est une tâche coûteuse en temps de calcul. Dans cet article, nous proposons deux méthodes, très simples à mettre en oeuvre, basées sur la théorie des sondages et la notion d'auto-observation, permettant d'optimiser le calcul d'observables. Ces méthodes sont évaluées et comparées empiriquement sur un problème jouet

    Modélisation de la température d’un corps par automates cellulaires

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    International audienceDans cet article, nous traitons d'une alternative aux méthodes analytiques classiques dans le cadre de la modélisation de systèmes complexes. Devant le caractère imprévisible de ces systèmes (où le nombre de composants et l'intensité des interactions sont importants), les méthodes analytiques semblent mal adaptées et des modèles dynamiques discrets, comme les automates cellulaires, peuvent permettre de faireémerger des comportements globaux complexes en déterminant simplement le comportement local et les interactions d'entités primitives. Nous illustrons notre propos en nous intéressantà un problème issu de la médecine légale : la modélisation du comportement thermique d'un cadavre. Aucun des modèles de température actuels, empiriques ou basés sur les lois physiques de transfert de chaleur, ne prend en compte des simulations sous températures variables. Nous proposons une solution qui remédieà ce problème. Nous en détaillons les spécifications, implémentations et résultats. Nous terminons sur l'utilisation de nos travaux, intégrés au sein d'un système multi-agents, et les perspectives de travail

    A simulation-based model of abduction

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    International audienceAbduction, or Inference to the Best Explanation (IBE), is a reasoning process that generates possible explanations from a set of "surprising" observations. In this paper, a simulation-based model of abduction is introduced. This model is then implemented to develop a decision support system in the field of Forensic Entomology to help forensic scientists solve complex cases

    Thermoregulation in P. Terraenovae aggregations, an agent-based approach

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    International audienceThis paper deals with an important issue of forensic entomology: the estimation of the temperature in a "maggot mass". An agent-based model of the thermoregulation behaviour of fly (Protophormia terraenovae) larvae is described. Simulation results show that the model reproduces an important observed pattern and thus, might be used in entomological expertises

    Biochemical disorders induced by cytotoxic marine natural products in breast cancer cells as revealed by proton NMR spectroscopy-based metabolomics

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    International audienceMarine plants and animals are sources of a huge number of pharmacologically active compounds, some of which exhibit antineoplastic activity of clinical relevance. However the mechanism of action of marine natural products (MNPs) is poorly understood. In this study, proton NMR spectroscopy-based metabolomics was applied to unravel biochemical disorders induced in human MCF7 breast cancer cells by 3 lead candidate anticancer MNPs: ascididemin (Asc), lamellarin-D (Lam-D), and kahalalide F (KF). Asc, Lam-D, and KF provoked a severe decrease in DNA content in MCF7 cells after 24h treatment. Asc and Lam-D provoked apoptosis, whereas KF induced non-apoptotic cell death. Metabolite profiling revealed major biochemical disorders following treatment. The response of MCF7 tumor cells to Asc involved the accumulation of citrate (×17 the control level, <0.001), testifying enzyme blockade in citrate metabolism, and the accumulation of gluconate (×9.8, <0.005), a metabolite never reported at such concentration in tumor cells, probably testifying glycolysis shutdown. The response to Lam-D involved the accumulation of aspartate (×7.2, <0.05), glutamate (×14.7, <0.05), and lactate (×2.3, <0.05), probably in relation with the targeting of the malate-aspartate shuttle, as discussed. The response to KF involved increased lipid accumulation (polyunsaturated fatty acids ×9.8, <0.05), and phospholipid and acetate derivative alterations. Altogether, this study demonstrates the potential of proton NMR spectroscopy-based metabolomics to help uncover metabolic targets and elucidate the mechanism of cytotoxicity of candidate antineoplastic MNPs

    Super-twisting sliding mode controller for freeway ramp metering

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    Colloque avec actes et comité de lecture. internationale.International audienceIn this paper we propose a new feedback controller for freeway ramp metering. It is based on a second order sliding mode technique called super twisting sliding mode controller (STSMC). It is a simple and robust controller. It is less sensitive to parameter values and the model uncertainty with less problem of chattering phenomenon compared to the first order sliding mode controller. And then, this new controller is compared with a well known feedback controller for freeway ramp metering called ALINEA. The simulations show a good result of the new controller for freeway ramp metering. Moreover, compared to ALINEA, the STSMC can cope better the system in term of robustness and uncertainty
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