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Cognitive maps in spatial economics: A multidisciplinary approach

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Author Info

  • Nathalie GAUSSIER (IERSO, IFReDE-GRES)
  • Philippe LAROQUE ETIS neurocybernetics team (UMR CNRS 8051)
  • Nicolas CUPERLIER ETIS neurocybernetics team (UMR CNRS 8051)
  • Mathias QUOY ETIS neurocybernetics team (UMR CNRS 8051)
  • Sorin MOGA ENST Brest
  • Philippe GAUSSIER ETIS neurocybernetics team (UMR CNRS 8051)

Abstract

If mental maps are a well-known subject in spatial analysis, they suffer from the difficulties to make them an operational concept. Nowadays, the development of cognitive science opens up new perspectives. Thanks to an association of spatial economists, roboticists and computer scientists in the context of a CNRS project “Geomatics, Space, Territories and Mobilities”, we show that it is possible to simulate cognitive maps that fit both with non-metric and situated properties. The paper works on a common assumption that space is central to understand individual strategies. It puts forward the idea that spatial visual information is central to spatial situated action. As a consequence, cognitive maps are built with endogenous preferences and exhibit interesting characteristics to better comprehend situated rationality. As an example, we show that a cognitive agent that means agent with a cognitive map, is able to solve spatial compromise without optimising any a priori known resources on a geographic map.

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File URL: http://cahiersdugres.u-bordeaux4.fr/2005/2005-14.pdf
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Bibliographic Info

Paper provided by Groupement de Recherches Economiques et Sociales in its series Cahiers du GRES with number 2005-14.

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Date of creation: 2005
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Handle: RePEc:grs:wpegrs:2005-14

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Web page: http://gres.u-bordeaux4.fr/
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Keywords: Cognitive maps; neural networks; learning; economics issues; multidisciplinary system;

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