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

Florence Le Ber (1, 2) , Vincent Chevrier , Arnaud Dury

1 MAIA - Autonomous intelligent machine
2 LIAB - Laboratoire d'intelligence artificielle et biométrie

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.

Mots clés: multi-agent systems; eco problem solving; modeling; simulation; éco-problème; modélisation; occupation du sol; land use; systèmes multi-agents

Domaines: Autre [cs.OH]

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, Japan. 6 p. ⟨inria-00098434⟩