Publications du COGIT

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

Cécile Duchêne, Guillaume Touya, Patrick Taillandier, Julien Gaffuri, Anne Ruas, Jérémy Renard
Technical Report , IGN - jan 2018

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.

Références BibTex

@TechReport\{Duchene18,
  author       = "Duch\^ene, C\'ecile and Touya, Guillaume and Taillandier, Patrick and Gaffuri, Julien and Ruas, Anne and Renard, J\'er\'emy",
  title        = "Multi-Agents Systems for Cartographic Generalization: Feedback from Past and On-going Research",
  institution  = "IGN",
  month        = "jan",
  year         = "2018",
  address      = "Saint-Mand\'e, France",
  keywords     = "agents, gen-model",
}
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