Search results for "Agent Based Model"

showing 10 items of 13 documents

ELSA air traffic simulator: An empirically grounded agent based model for the SESAR scenario

2015

This paper describes the Air Traffic Simulator produced by the ELSA project. It is partially based on interacting agents taking actions during strategic and tactical phases: air companies, network manager, pilots, and controllers. The simulator is highly modular and each part can be used independently of the others. The code is open source, ready to use and available for the research community. Some results concerning the future organization of the European Airspace (free-routing) are presented, using the full capabilities of the model. We found that the implementation of free-routing could have a positive impact on the safety event occurrences that will be reduced in number although spread…

Agent Based ModelAir Traffic ManagementSocio Technical Complex SystemSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
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An agent based model of air traffic management

2013

The WP-E ELSA project aims at developing an empirically grounded agent based model that describes some of the stylized facts observed in the Air Traffic Management of the European airspace. The model itself has two main parts: (i) The strategic layer, focused on the interaction between the Network Manager and the Airline Operators and (ii) the tactical layer, focused on aircraft and controllers behaviour in Air Traffic Control (ATC) sectors. The preliminary results for the strategic layer show that when we have a mixing of re-routing and shifting companies, the overall satisfaction can even increase together with the number of flights, which is an effect not observed when only one type of c…

Air traffic agent based modelsAir traffic management;agent-based modelsAir traffic managementagent-based modelsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
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CeLL, an agent based model for exploring the spatial influence influence of climate change on Lobesia botrana population dynamics

2016

International audience; The European Grapevine moth (Lobesia botrana) is one of the most noxious vineyard-pests in the European and Mediterranean area. Its larvae feed on grapevine flowers and berries, and usually cause considerable damage, also by facilitating saphrophytic infections to berries.The biology of L. botrana has been investigated since the 80s. A number of studies has tested its physiology and behaviour in experimental conditions (Hurtrel et Thiéry 1999), in field conditions (Stockel et al. 1994), and using mathematical modelling techniques. Whereas the modelling approaches that have been proposed in the literature are hetereogeneus they generally focus on the phenology and pop…

[SDE.MCG]Environmental Sciences/Global Changes[SHS.GEO] Humanities and Social Sciences/GeographyAgriculture[SHS.GEO]Humanities and Social Sciences/GeographyVineyard landscape[ SHS.GEO ] Humanities and Social Sciences/Geography[SDE.MCG] Environmental Sciences/Global Changes[ SDE.MCG ] Environmental Sciences/Global Changes[SDV.EE.BIO] Life Sciences [q-bio]/Ecology environment/BioclimatologyLobesia botranaAgent based modeling[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.EE.BIO ] Life Sciences [q-bio]/Ecology environment/Bioclimatology[SDV.EE.BIO]Life Sciences [q-bio]/Ecology environment/Bioclimatology[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM][INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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Representing social intelligence: An agent-based modeling application

2017

Abstract Intelligent systems are composed of autonomous components that interact each others, with and through the environment, in order to give intelligent support for reaching specific objectives. In such kind of systems the environment is an active part of the system itself and provides input for runtime changing and adaptation. Modeling and representing systems like this is a hard task. In this paper we propose a biologically inspired approach that combined with the use of Agent-Based Modeling allows to create a means for analyzing emergent needs of the system at runtime and converting them into useful intelligent services to be provided. The experiment proposed for validating and illus…

Social intelligenceComputer sciencebusiness.industryCognitive Neuroscience0211 other engineering and technologiesIntelligent decision support system021107 urban & regional planningExperimental and Cognitive PsychologyEmergent systems02 engineering and technologySocial phenomenaEmergent systemsTask (project management)University campusArtificial IntelligenceHuman–computer interactionAgent based modeling0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligenceAdaptation (computer science)businessBiologically Inspired Cognitive Architectures
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Multi-methodology Modeling to Support Policy Analysis in Socio-technical Systems

Settore SECS-P/07 - Economia AziendaleAgent Based ModellingSystem Dynamics
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Studying and modelling soil microbial communities dynamics at a landscape scale in response to agricultural practices

2019

Soil microbial communities play a major role in soil fertility and are important as bioindicators to evaluate the impacts of agricultural practices on soils. The challenge is to promote their use in order to support / accelerate innovation by proposing to farmers the tools necessary to assess the impacts of practice modifications on the soil microbial composition before implementing and validating them. The goal of this thesis is to characterize spatial and temporal dynamics of soil microbial communities at the scale of an agricultural landscape in order to create models and propose a Decision Support Instrument (DSI) for stakeholders in the agricultural communities. This will use a multi-d…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesparticipatory modelling[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyagricultural practices[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyagent based modellingdecision support instrument (DSI)soil microbial ecology
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Un ravageur virtuel pour expérimenter des méthodes réelles de lutte intégrée : l'utilisation de modèle à base d'agents pour explorer les comportement…

2015

Lobesia botrana is a microlepidoptera moth a common pest in European vineyards. Larvaes cause damages both by eating plant reproductive organs and indirectly by promoting the infection of grape berries by saprophytic pathogens.Since 1999, the Banyuls and Albères Agricultural Development Group (GDA) keeps track of infestations by L. botrana on control plots. Moreover, since 2012, thanks to the ANR TERVICLIM, the of Banyuls AOC region is covered by a network of temperature recording stations.This year, the GDA launches an IPM (Integreted Pest Management) plan based on mating disruption that requires the involvement of vine-growers. The aim of this paper is two-fold: the calibrating an agent-b…

Agent Based ModelSystèmes multi-agents[SHS.GEO] Humanities and Social Sciences/GeographyLobesia botrana[SHS.GEO]Humanities and Social Sciences/GeographyLutte intégrée[ SHS.GEO ] Humanities and Social Sciences/Geography
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Contagion and Bank Runs in a Multi-Agent Financial System

2012

In this work we explore contagion from one institution to another that can stem from the existence of a network of financial contracts. In fact, in modern financial systems, an intricate web of claims and obligations links the balance sheets of a wide variety of intermediaries (banks, for instance) into a network structure of interdependencies that have created an environment for feedback elements to generate amplified responses to shocks to the financial system. Small shocks, which initially affect only a few institutions, can indeed spread by contagion to the rest of the financial sector and cause a crisis in the connected intermediaries. Whether the financial crisis does spread depends c…

Agent-based modelComplex contagionFinancial networksmedia_common.quotation_subjectBank runFinancial systemherding behaviorSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.systemic riskSystemic riskInstitutionbank runDeposit insuranceBalance sheetBusinessContagion financial network systemic risk agent based model.media_common
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Studying and modelling the dynamics of soil microbial communities at a landscape scale in response to agricultural practices

2019

National audience; Soil Microbial communities play a major role in soil fertility and are important as bioindicators to evaluate the impacts of agricultural practices on soils. The challenge is to promote their use in order to support / accelerate innovation by proposing to farmers the tools necessary to assess the impacts of practice modifications on the soil microbial composition before implementing and validating them. The goal of this thesis is to characterize spatial and temporal dynamics of soil microbial communities at the scale of an agricultural landscape in order to create models and propose a Decision Support Instrument (DSI) for stakeholders in the agricultural communities. This…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesparticipatory modellingagricultural practice[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyagent based modellingdecision support instrument (DSI)soil microbial ecology
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Asset Return Dynamics under Alternative Learning Schemes

2009

In this paper we design an artificial financial market where endogenous volatility is created assigning to the agents diverse prior beliefs about the joint distribution of returns, and, over time, making agents rationally update their beliefs using common public information. We analyze the asset price dynamics generated under two learning environments: one where agents assume that the joint distribution of returns is IID, and another where agents believe in the existence of regimes in the joint distribution of asset returns. We show that the regime switching learning structure can generate all the most common stylized facts of financial markets: fat tails and long-range dependence in volati…

Public informationStylized factlearningFinancial economicsregime switching modelheterogeneous beliefsFinancial marketAsset allocationRegime switchingAsset returnSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Joint probability distributionEconomicsEconometricsVolatility (finance)Agent based model
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