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Swarming methods for geospatial reasoning / H. Van Dyke Parunak in International journal of geographical information science IJGIS, vol 20 n° 9 (october 2006)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 20 n° 9 (october 2006) . - pp 945 - 964 Titre : Swarming methods for geospatial reasoning Type de document : Article/Communication Auteurs : H. Van Dyke Parunak, Auteur ; S.A. Brueckner, Auteur ; R. Matthews, Auteur ; J. Sauter, Auteur Année de publication : 2006 Article en page(s) : pp 945 - 964 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] prédiction [Termes IGN] raisonnement spatial [Termes IGN] système multi-agents Résumé : (Auteur) Geospatial data are often used to predict or recommend movements of robots, people, or animals (‘walkers’). Analysis of such systems can be combinatorially explosive. Each decision that a walker makes generates a new set of possible future decisions, and the tree of possible futures grows exponentially. Complete enumeration of alternatives is out of the question. One approach that we have found promising is to instantiate a large population of simple computer agents that explore possible paths through the landscape. The aggregate behaviour of this swarm of agents estimates the likely behaviour of the real-world system. This paper will discuss techniques that we have found useful in swarming geospatial reasoning, illustrate their behaviour in specific cases, compare them with existing techniques for path planning, and discuss the application of such systems. Copyright Taylor & Francis Numéro de notice : A2006-419 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810600830525 En ligne : https://doi.org/10.1080/13658810600830525 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28143 [article]

Exemplaires(2)

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079-06091	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-06092	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A probe mechanism to couple spatially explicit agents and landscape models in an integrated modelling framework / P.A. Graniero in International journal of geographical information science IJGIS, vol 20 n° 9 (october 2006)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 20 n° 9 (october 2006) . - pp 965 - 990 Titre : A probe mechanism to couple spatially explicit agents and landscape models in an integrated modelling framework Type de document : Article/Communication Auteurs : P.A. Graniero, Auteur ; V.B. Robinson, Auteur Année de publication : 2006 Article en page(s) : pp 965 - 990 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] conception orientée objet [Termes IGN] image PROBE [Termes IGN] paysage [Termes IGN] simulation 3D [Termes IGN] système multi-agents Résumé : (Auteur) Many environmental, ecological, and social problems require investigation using a mixture of landscape models, individual-based models, and some level of interaction between them. Few simulation-modelling frameworks are structured to handle both styles of model in an integrated fashion. ECO-COSM is a framework that is capable of handling complex models with both landscape and agent components. Its Probe-based architecture allows model components to have controlled access to the state of other components. The ProbeWrapper is a modification of this common design approach which allows alterations to the state retrieved from the model and is a critical component of ECO-COSM's broad modelling capability. It allows agents to apply perceptual filters or measurement errors to their observations of the landscape, or apply decision-making strategies in the face of incomplete or uncertain observations. ECO-COSM is demonstrated with a landscape model of metapopulation dynamics, an agent model of squirrel dispersal, and a coupled landscape-agent model to evaluate field-data-acquisition strategies for identifying nutrient or contaminant hotspots. Copyright Taylor & Francis Numéro de notice : A2006-420 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810600830541 En ligne : https://doi.org/10.1080/13658810600830541 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28144 [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

Bounded rationality in agent-based models: experiments with evolutionary programs / S.M. Manson in International journal of geographical information science IJGIS, vol 20 n° 9 (october 2006)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 20 n° 9 (october 2006) . - pp 991 - 1012 Titre : Bounded rationality in agent-based models: experiments with evolutionary programs Type de document : Article/Communication Auteurs : S.M. Manson, Auteur Année de publication : 2006 Article en page(s) : pp 991 - 1012 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] raisonnement spatial [Termes IGN] système multi-agents Résumé : (Auteur) This paper examines the use of evolutionary programming in agent-based modelling to implement the theory of bounded rationality. Evolutionary programming, which draws on Darwinian analogues of computing to create software programs, is a readily accepted means for solving complex computational problems. Evolutionary programming is also increasingly used to develop problem-solving strategies in accordance with bounded rationality, which addresses features of human decision-making such as cognitive limits, learning, and innovation. There remain many unanswered methodological and conceptual questions about the linkages between bounded rationality and evolutionary programming. This paper reports on how changing parameters in one variant of evolutionary programming, genetic programming, affects the representation of bounded rationality in software agents. Of particular interest are: the ability of agents to solve problems; limits to the complexity of agent strategies; the computational resources with which agents create, maintain, or expand strategies; and the extent to which agents balance exploration of new strategies and exploitation of old strategies. Copyright Taylor & Francis Numéro de notice : A2006-421 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810600830566 En ligne : https://doi.org/10.1080/13658810600830566 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28145 [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

Spatially explicit experiments for the exploration of land-use decision-making dynamics / Tom P. Evans in International journal of geographical information science IJGIS, vol 20 n° 9 (october 2006)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 20 n° 9 (october 2006) . - pp 1013 - 1037 Titre : Spatially explicit experiments for the exploration of land-use decision-making dynamics Type de document : Article/Communication Auteurs : Tom P. Evans, Auteur ; W. Sun, Auteur ; H. Kelley, Auteur Année de publication : 2006 Article en page(s) : pp 1013 - 1037 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] aide à la décision [Termes IGN] changement d'occupation du sol [Termes IGN] occupation du sol [Termes IGN] système d'information géographique [Termes IGN] système multi-agents Résumé : (Auteur) We explore the special outcomes of decision-making through two laboratory-based experiments, one with a homogenous land suitability surface and another with a heterogeneous suitability surface. Subjects make resource allocation decisions on an abstract landscape and are given a monetary incentive to maximize their revenue during the experiment. These experimental results are compared with simulation output from an agent-based model run on the same abstract landscape that uses a utility-maximizing agent. The main findings are: (1) landscapes produced by subjects result in greater patchiness and more edge than the utility-maximization agent predicts; (2) there is considerable diversity in the decisions subjects make despite the relatively simple decision-making context; and (3) there is greater deviation of subject revenue from the maximum potential revenue in early rounds of the experiment compared with later rounds, demonstrating the challenge of making optimal decisions with little historical context. The findings demonstrate the value of using non-maximizing agents in agent-based models of land-cover change and the importance of acknowledging actor heterogeneity in land-change systems. Copyright Taylor & Francis Numéro de notice : A2006-422 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810600830764 En ligne : https://doi.org/10.1080/13658810600830764 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28146 [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

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)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 20 n° 9 (october 2006) . - pp 1039 - 1066 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-agents Résumé : (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 [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

Agent-based modelling of shifting cultivation field patterns, Vietnam / M.R. Jepsen in International journal of geographical information science IJGIS, vol 20 n° 9 (october 2006)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 20 n° 9 (october 2006) . - pp 1067 - 1085 Titre : Agent-based modelling of shifting cultivation field patterns, Vietnam Type de document : Article/Communication Auteurs : M.R. Jepsen, Auteur ; S. Leisz, Auteur ; K. Rasmussen, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 1067 - 1085 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse comparative [Termes IGN] analyse de groupement [Termes IGN] classification barycentrique [Termes IGN] cultures [Termes IGN] figure géométrique [Termes IGN] image Landsat-TM [Termes IGN] image Terra-ASTER [Termes IGN] segmentation d'image [Termes IGN] simulation [Termes IGN] spatial metrics [Termes IGN] surface cultivée [Termes IGN] système multi-agents [Termes IGN] utilisation du sol [Termes IGN] Viet Nam Résumé : (Auteur) Shifting cultivation in the Nghe An Province of Vietnam's Northern Mountain Region produces a characteristic land-cover pattern of small and larger fields. The pattern is the result of farmers cultivating either individually or in spatially clustered groups. Using spatially explicit agent-based modelling, and relying on empirical data from fieldwork and observations for parameterization of variables, the level of clustering in agricultural fields observed around a study village is reproduced. Agents in the model act to maximize labour productivity, which is based on potential yield and labour costs associated with fencing of fields, and are faced with physical constraints. The simulation results are compared with land-cover data obtained from remote sensing. Comparisons are made on patterns as detected visually and using the mean nearest-neighbour ratio. Baseline simulation outputs show high degrees of spatial clustering and similarity to the land-cover data, but also a need for further calibration of model variables and controls. Copyright Taylor & Francis Numéro de notice : A2006-424 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810600830848 En ligne : https://doi.org/10.1080/13658810600830848 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28148 [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