Multi-Agents Systems for Cartographic Generalization: Feedback from Past and On-going Research

Abstract : Cartographic generalization is a highly local and contextual process where decisions are taken locally to better adjust the transformations used to the local geography. Thus, carto-graphic generalization fits well with the multi-agents paradigm that promotes decentralized and autonomous decision-making. The past years of research in cartographic generalization showed several successful attempts to use multi-agents systems, and this paper provides a feedback on these attempts. We extracted a core modeling of a multi-agents system for generalization and highlighted its main components. Previous propositions of multi-agents generalization processes are described in relation to this core modeling, and feedbacks from experimentations with these processes are discussed to define a research agenda in multi-agents modeling for generalization.
Mots-clés : SMA généralisation
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Contributor : Guillaume Touya <>
Submitted on : Friday, January 12, 2018 - 9:07:26 AM
Last modification on : Wednesday, June 19, 2019 - 11:44:46 AM
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Guillaume Touya, Cécile Duchêne, Patrick Taillandier, Julien Gaffuri, Anne Ruas, et al.. Multi-Agents Systems for Cartographic Generalization: Feedback from Past and On-going Research. [Research Report] IGN (Institut National de l’Information Géographique et Forestière); LaSTIG, équipe COGIT. 2018. ⟨hal-01682131⟩

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