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Automatic revision of the control knowledge used by trial and error methods: Application to cartographic generalisation / Patrick Taillandier in Applied soft computing, vol 11 n° 2 (March 2011)
[article]
Titre : Automatic revision of the control knowledge used by trial and error methods: Application to cartographic generalisation Type de document : Article/Communication Auteurs : Patrick Taillandier , Auteur ; Cécile Duchêne , Auteur ; Alexis Drogoul, Auteur Année de publication : 2011 Article en page(s) : pp 2818 - 2832 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] connaissance thématique
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] instance
[Termes IGN] méthode heuristique
[Vedettes matières IGN] GénéralisationMots-clés libres : Knowledge revision Problem solving Trial and error method Cartographic generalisation Résumé : (auteur) Humans frequently have to face complex problems. A classical approach to solve them is to search the solution by means of a trial and error method. This approach is often used with success by artificial systems. However, when facing highly complex problems, it becomes necessary to introduce control knowledge (heuristics) in order to limit the number of trials needed to find the optimal solution. Unfortunately, acquiring and maintaining such knowledge can be fastidious. In this paper, we propose an automatic knowledge revision approach for systems based on a trial and error method. Our approach allows to revise the knowledge off-line by means of experiments. It is based on the analysis of solved instances of the considered problem and on the exploration of the knowledge space. Indeed, we formulate the revision problem as a search problem: we search the knowledge set that maximises the performances of the system on a sample of problem instances. Our knowledge revision approach has been implemented for a real-world industrial application: automated cartographic generalisation, a complex task of the cartography domain. In this implementation, we demonstrate that our approach improves the quality of the knowledge and thus the performance of the system. Numéro de notice : A2011-581 Affiliation des auteurs : IGN+Ext (1940-2011) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.asoc.2010.11.012 Date de publication en ligne : 27/11/2010 En ligne : http://dx.doi.org/10.1016/j.asoc.2010.11.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83482
in Applied soft computing > vol 11 n° 2 (March 2011) . - pp 2818 - 2832[article]The CARTACOM model : transforming cartographic features into communicating agents for cartographic generalization / Cécile Duchêne in International journal of geographical information science IJGIS, vol 26 n° 9-10 (September - october 2012)
[article]
Titre : The CARTACOM model : transforming cartographic features into communicating agents for cartographic generalization Type de document : Article/Communication Auteurs : Cécile Duchêne , Auteur ; Anne Ruas , Auteur ; Christophe Cambier, Auteur Année de publication : 2012 Article en page(s) : pp 1533 - 1562 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] AGENT
[Termes IGN] base de données topographiques
[Termes IGN] CartACom
[Termes IGN] données vectorielles
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] programmation par contraintes
[Termes IGN] relation topologique
[Termes IGN] système multi-agents
[Vedettes matières IGN] GénéralisationMots-clés libres : cartographic generalisation constraints modelling spatial environment multi-agent communicative agents topographic data Résumé : (auteur) Our research is concerned with automated generalisation of topographic vector databases in order to produce maps. This article presents a new, agent-based generalization model called CARTACOM (Cartographic generalisation with Communicating Agents), dedicated to the treatment of areas of low density but where rubber sheeting techniques are not sufficient because some eliminations or aggregations are needed. In CARTACOM, the objects of the initial database are modelled as agents, that is, autonomous entities, that choose and apply generalisation algorithms to themselves in order to increase the satisfaction of their constraints as much as possible. The CARTACOM model focuses on modelling and treating the relational constraints, defined as constraints that concern a relation between two objects. In order to detect and assess their relational constraints, the CARTACOM agents are able to perceive their spatial surroundings. Moreover, to make the good generalisation decisions to satisfy their relational constraints, they are able to communicate with their neighbours using predefined dialogue protocols. Finally, a hook to another agent-based generalisation model – AGENT – is provided, so that the CARTACOM agents can handle not only their relational constraints but also their internal constraints. The CARTACOM model has been applied to the generalisation of low-density, heterogeneous areas like rural areas, where the space is not hierarchically organised. Examples of results obtained on real data show that it is well adapted for this application. Numéro de notice : A2012-715 Affiliation des auteurs : COGIT+Ext (1988-2011) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2011.639302 Date de publication en ligne : 02/04/2012 En ligne : http://dx.doi.org/10.1080/13658816.2011.639302 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83475
in International journal of geographical information science IJGIS > vol 26 n° 9-10 (September - october 2012) . - pp 1533 - 1562[article]Réservation
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