Training on multi-agent systems, social sciences, and integrated natural resource management : lessons from an Inter-University Project in Thailand

Bousquet François, Trébuil Guy. 2005. Training on multi-agent systems, social sciences, and integrated natural resource management : lessons from an Inter-University Project in Thailand. In : Companion modeling and multi-agent systems for integrated natural resource management in Asia. Bousquet François (ed.), Trébuil Guy (ed.), Hardy Bill (ed.). CIRAD, IRRI. Metro Manila : IRRI, 309-326. ISBN 971-22-0208-9

Chapitre d'ouvrage

Prévisualisation

Version publiée - Anglais
Utilisation soumise à autorisation de l'auteur ou du Cirad.
ID530537.pdf
Télécharger (678kB) | Prévisualisation

Résumé : In this new century, there is an urgent need to integrate and organize knowledge into suitable frameworks to examine essential problems with the people involved in solving them. Recent advances in computer science, particularly distributed artificial intelligence and multi-agent systems (MAS), are creating a strong interest in using this new knowledge and technologies for various applications to better deal with the increasing complexity of our fast-changing world, particularly for studying interactions between societies and their environment. By emphasizing the importance of interactions and points of view, the MAS way of thinking can facilitate high-level interdisciplinary training and collaborative research among scientists working in ecology and social sciences to examine complex problems in the field of integrated natural resource management (INRM). This paper describes how a recent project based on a series of short courses in the field of MAS, social sciences, and INRM at three different universities in Thailand tried to transfer European expertise and research results to an Asian audience of graduate and postgraduate students and young researchers interested in innovative and action-research-oriented interdisciplinary approaches. The course structure, organization, and contents are described and assessed. The course participants are characterized and their opinions are used to evaluate the strengths and weaknesses of this very interdisciplinary training program. The first sustainable outputs and key preliminary lessons learned from this innovative collective learning experience are presented. In conclusion, the authors suggest ways to support the emergence of a regional network of "MAS for INRM" practitioners in Southeast Asia to build on the dynamics begun by this project and serve the need for such interdisciplinary training across Southeast Asia.

Mots-clés Agrovoc : gestion des ressources, ressource naturelle, participation sociale, comportement, environnement socioéconomique, modèle de simulation, modélisation

Mots-clés géographiques Agrovoc : Thaïlande

Mots-clés complémentaires : Système multiagents, Modélisation d'accompagnement

Classification Agris : U10 - Informatique, mathématiques et statistiques
P01 - Conservation de la nature et ressources foncières
U30 - Méthodes de recherche

Champ stratégique Cirad : Axe 6 (2005-2013) - Agriculture, environnement, nature et sociétés

Auteurs et affiliations