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Auteur W. Tang |
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Simulating complex adaptative geographic systems: a geographically aware intelligent agent approach / W. Tang in Cartography and Geographic Information Science, vol 35 n° 4 (October 2008)
[article]
Titre : Simulating complex adaptative geographic systems: a geographically aware intelligent agent approach Type de document : Article/Communication Auteurs : W. Tang, Auteur Année de publication : 2008 Article en page(s) : pp 239 - 263 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] agent (intelligence artificielle)
[Termes IGN] apprentissage automatique
[Termes IGN] classe d'objets
[Termes IGN] classification à base de connaissances
[Termes IGN] conception orientée objet
[Termes IGN] modèle de simulation
[Termes IGN] système d'information géographique
[Termes IGN] système multi-agentsRésumé : (Auteur) The objective of this paper is to present a spatially explicit agent-based simulation framework with a supporting software package to explore complex adaptive geographic systems. This framework is particularly suitable for modeling entities that are contextually aware, knowledge driven, and adaptive because it represents them as geographically aware intelligent agents. Fundamental advances in the explicit representation of contextual information, knowledge structures, and learning processes are needed for modeling intelligent agents situated within geographic systems. The representation of these agents requires the integration of agent-based models, machine learning, and GIS. Existing software packages for agent-based modeling, however, often provide insufficient support for this integration. The agent-based simulation package presented here is specifically designed to achieve such integration by assisting the development of agent-based models from the simulation framework. Object-oriented modeling techniques were used to implement this simulation package, which includes four modules: simulation, visualization, learning, and geoprocessing. In particular, the learning and geoprocessing modules facilitate the representation of adaptive behavior in agents within spatially explicit environments. The utility of the agent-based simulation package is illustrated using two simulation models: one of adaptive elk behavior and another of pedestrian movement. The successful design of the simulation models suggests that the modeling framework with the supporting software package is well suited to the resolution of complex adaptive geographic problems. Copyright CaGISociety Numéro de notice : A2008-438 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1559/152304008786140551 En ligne : https://doi.org/10.1559/152304008786140551 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29507
in Cartography and Geographic Information Science > vol 35 n° 4 (October 2008) . - pp 239 - 263[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-08041 RAB Revue Centre de documentation En réserve L003 Disponible Modelling adaptive, spatially aware, and mobile agents: Elk migration in Yellowstone / David A. Bennett in International journal of geographical information science IJGIS, vol 20 n° 9 (october 2006)
[article]
Titre : Modelling adaptive, spatially aware, and mobile agents: Elk migration in Yellowstone Type de document : Article/Communication Auteurs : David A. Bennett, Auteur ; W. Tang, Auteur Année de publication : 2006 Article en page(s) : pp 1039 - 1066 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] apprentissage automatique
[Termes IGN] Etats-Unis
[Termes IGN] Mammalia
[Termes IGN] migration animale
[Termes IGN] objet mobile
[Termes IGN] parc naturel national
[Termes IGN] système multi-agentsRésumé : (Auteur) The potential utility of agent-based models of adaptive, spatially aware, and mobile entities in geographic and ecological research is considerable. Developing this potential, however, presents significant challenges to geographic information science. Modelling the spatio-temporal behaviour of individuals requires new representational forms that capture how organisms store and use spatial information. New procedures must be developed that simulate how individuals produce bounded knowledge of geographical space through experiential learning, adapt this knowledge to continually changing environments, and apply it to spatial decision-making processes. In this paper, we present a framework for the representation of adaptive, spatially aware, and mobile agents. To provide context to this research, a multiagent model is constructed to simulate the migratory behaviour of elk (Cervus elaphus) on Yellowstone's northern range. In this simulated environment, intelligent agents learn in ways that enable them to mimic real-world behaviours and adapt to changing landscapes. Copyright Taylor & Francis Numéro de notice : A2006-423 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810600830806 En ligne : https://doi.org/10.1080/13658810600830806 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28147
in International journal of geographical information science IJGIS > vol 20 n° 9 (october 2006) . - pp 1039 - 1066[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-06091 RAB Revue Centre de documentation En réserve L003 Disponible 079-06092 RAB Revue Centre de documentation En réserve L003 Disponible