A Multi-Agent System for the Simulation of Land Use Organization

Florence Le Ber 1 Vincent Chevrier Arnaud Dury
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We built a multi-agent system for simulating land-use organization in farming territories in the north-east of France. Farming territories were described with soil, slope and distance features. Farming systems were described as sets of land-use categories which had needs and soil, slope or distance constraints. Our multi-agent system was inspired by the eco problem solving approach: each land-use categorie was represented by a set of agents which tried to conquer zones to satisfy its needs, fighting each other. Our system was shown convenient for our problem and provided valide solutions on real data sets.
Type de document :
Communication dans un congrès
3rd IFAC/CIGR Workshop on Artificial Intelligence in Agriculture, 1998, Makuhari, Chiba, Japon, 6 p, 1998
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https://hal.inria.fr/inria-00098434
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Soumis le : lundi 25 septembre 2006 - 17:01:19
Dernière modification le : jeudi 11 janvier 2018 - 06:19:51

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  • HAL Id : inria-00098434, version 1

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Florence Le Ber, Vincent Chevrier, Arnaud Dury. A Multi-Agent System for the Simulation of Land Use Organization. 3rd IFAC/CIGR Workshop on Artificial Intelligence in Agriculture, 1998, Makuhari, Chiba, Japon, 6 p, 1998. 〈inria-00098434〉

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