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Building agent-based walking models by machine-learning on diverse databases of space-time trajectory samples / Paul M. Torrens in Transactions in GIS, vol 15 supplement s1 (July 2011)  

Public [article]  inTransactions in GIS > vol 15 supplement s1 (July 2011) . - pp 67 - 94 Titre : Building agent-based walking models by machine-learning on diverse databases of space-time trajectory samples Type de document : Article/Communication Auteurs : Paul M. Torrens, Auteur ; W. Griffin, Auteur ; X. Li, Auteur Année de publication : 2011 Article en page(s) : pp 67 - 94 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] agent (intelligence artificielle) [Termes IGN] analyse spatiale [Termes IGN] apprentissage automatique [Termes IGN] base de données spatiotemporelles [Termes IGN] itinéraire [Termes IGN] milieu urbain [Termes IGN] navigation pédestre [Termes IGN] piéton [Termes IGN] service fondé sur la position [Termes IGN] trajet (mobilité) Résumé : (Auteur) We introduce a novel scheme for automatically deriving synthetic walking (locomotion) and movement (steering and avoidance) behavior in simulation from simple trajectory samples. We use a combination of observed and recorded real-world movement trajectory samples in conjunction with synthetic, agent-generated, movement as inputs to a machine-learning scheme. This scheme produces movement behavior for non-sampled scenarios in simulation, for applications that can differ widely from the original collection settings. It does this by benchmarking a simulated pedestrian's relative behavioral geography, local physical environment, and neighboring agent-pedestrians; using spatial analysis, spatial data access, classification, and clustering. The scheme then weights, trains, and tunes likely synthetic movement behavior, per-agent, per-location, per-time-step, and per-scenario. To prove its usefulness, we demonstrate the task of generating synthetic, non-sampled, agent-based pedestrian movement in simulated urban environments, where the scheme proves to be a useful substitute for traditional transition-driven methods for determining agent behavior. The potential broader applications of the scheme are numerous and include the design and delivery of location-based services, evaluation of architectures for mobile communications technologies, what-if experimentation in agent-based models with hypotheses that are informed or translated from data, and the construction of algorithms for extracting and annotating space-time paths in massive data-sets. Numéro de notice : A2011-251 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2011.01261.x Date de publication en ligne : 09/06/2011 En ligne : https://doi.org/10.1111/j.1467-9671.2011.01261.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31029 [article]

Agent-based models and the spatial sciences / Paul M. Torrens in Geography compass, vol 4 n° 5 (May 2010)  

Public [article]  inGeography compass > vol 4 n° 5 (May 2010) . - pp 428 - 448 Titre : Agent-based models and the spatial sciences Type de document : Article/Communication Auteurs : Paul M. Torrens, Auteur Année de publication : 2010 Article en page(s) : pp 428 - 448 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] agent (intelligence artificielle) [Termes IGN] système multi-agents Résumé : (auteur) Agent-based models (ABMs) are used in the spatial sciences as building-blocks for computer simulation. ABMs have a range of advantageous attributes, not least of which is their flexibility in representing dynamic and highly adaptive physical or human phenomena. ABMs facilitate the exploration of ideas about the myriad of ways that geographical systems develop, behave, interact and evolve, often supporting experimentation with geographical systems in ways that are simply not possible in the real world. Indeed, in many cases, ABMs are developed from the bottom up, pedagogically, as a tool in building theory. Geographers’ work with ABMs has helped to strengthen existing ties with related disciplines such as computer science and informatics, ecology, sustainability science, economics, anthropology, political science and the earth sciences. Primarily because of the value placed on spatial science and behavioral geography in agent-based modeling, work of this kind is helping to infuse geographical perspectives and ‘spatial thinking’ into these fields. This article reviews the development of agent-based modeling in the spatial sciences, its current uses and applications in physical and human geography and potential future trends in its research and development. Numéro de notice : A2010-610 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1111/j.1749-8198.2009.00311.x En ligne : http://dx.doi.org/10.1111/j.1749-8198.2009.00311.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83409 [article]

Geographic automata systems / Paul M. Torrens in International journal of geographical information science IJGIS, vol 19 n° 4 (april 2005)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 19 n° 4 (april 2005) . - pp 385 - 412 Titre : Geographic automata systems Type de document : Article/Communication Auteurs : Paul M. Torrens, Auteur ; Itzhak Benenson, Auteur Année de publication : 2005 Article en page(s) : pp 385 - 412 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] automate cellulaire [Termes IGN] géographie sociale [Termes IGN] géoréférencement [Termes IGN] milieu urbain [Termes IGN] modèle de simulation [Termes IGN] objet géographique [Termes IGN] système d'information géographique [Termes IGN] système multi-agents Résumé : (Auteur) A novel approach to automata-based modeling for spatial systems is described: geographic automata and Geographic Automata Systems. We detail a framework that takes advantage of the formalism of automata theory and GI Science to unite cellular automata and multi-agent systems techniques, and provides a spatial approach to bottom-up modeling of complex geographic systems that are comprised of infrastructure and human objects. The suitability of the framework is also discussed with reference to existing cellular automata and multi-agent systems models used in urban studies. Practical implementation of the framework is illustrated with reference to an object-based urban simulation environment and implementation of a popular socio-spatial segregation model. Numéro de notice : A2005-096 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810512331325139 En ligne : https://doi.org/10.1080/13658810512331325139 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27234 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-05041	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-05042	RAB	Revue	Centre de documentation	En réserve L003	Disponible