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as possible. A model based on an articulation of recipes may not be enough to
quantify the impact of the boundary workers. Thus it is essential to include at this
model several indicators that show the effects of these recipes on the socio-
hydrosystem. The model is still in development phase. We will explore indicators of
resilience of socio-hydrosystem as: the level of the resources, the index of knowledge
and the confidence of stakeholders.
References
1. Serra, R., Villani, M., Lane, D.: Modeling Innovation. Complexity Perspectives in
Innovation and Social Change, 361-388 (2009)
2. Stringer, L.C., Dougill, A.J., Fraser, E., Hubacek, K., Prell, C., Reed, M.S.: Unpacking
“participation” in the adaptive management of social-ecological systems: a critical review.
Ecology and Society 11, 39 (2006)
3. Janssen, M.: Complexity and ecosystem management: the theory and practice of multi-
agent systems. Edward Elgar Publishing (2002)
4. Barreteau, O., Bousquet, F.: SHADOC: a Multi-Agent Model to tackle viability of
irrigated systems. Annals of Operations Research 94, 139-162 (2000)
5. Becu, N., Perez, P., Walker, A., Barreteau, O., Le Page, C.: Agent based simulation of a
small catchment water management in northern Thailand: Description of the
CATCHSCAPE model. Ecological Modelling 170, 319-331 (2003)
6. Lansing, J.S.: Anti-chaos, common property and the emergence of cooperation. In: Kohler,
T., Gumerman, G. (eds.) Dynamics in Human and Primate Societies, pp. 207-223. Oxford
University Press (1999)
7. Pahl-Wostl, C., Hare, M.: Processes of social learning in integrated resources management.
Journal of Community and Applied Social Psychology 14, 193-206 (2004)
8. van Oel, P.R., Krol, M.S., Hoekstra, A.Y., Taddei, R.R.: Feedback mechanisms between
water availability and water use in a semi-arid river basin: A spatially explicit multi-agent
simulation approach. Environmental Modelling & Software 25, 433-443 (2010)
9. Barreteau, O., Bousquet, F.: SHADOC: a multi-agent model to tackle viability of irrigated
systems. Annals of Operations Research 94, 139-162 (2000)
10. Le Bars, M., Le Grusse, P.: Participative modelling of agricultural water demand at
regional scale: an example in central Tunisia (2008)
11. Hoanh, C., Le Page, C., Barreteau, O., Trébuil, G., Bousquet, F., Cernesson, F., Barnaud,
C., Gurung, T., Promburom, P., Naivinit, W.: Agent-based modeling to facilitate resilient
water management in Southeast and South Asia. In: International Forum on Water and
Food, pp. 10-14 (2008)
12. Moss, T., Medd, W., Guy, S., Marvin, S.: Organising water: The hidden role of
intermediary work. Water Alternatives 2, 16-33 (2009)
13. Barreteau, O., Richard-Ferroudji, A., Garin, P.: Des outils et méthodes en appui à la
gestion de l'eau par bassin versant. La Houille Blanche 6, 48-55 (2008)
14. Billaud, J.-P.: Ce que faciliter veut dire. A propos d'un retour d'expérience de chargés de
mission Natura 2000. In: Remy, J., Brives, H., Lemery, B. (eds.) Conseillers en
Agriculture. Educagri/INRA (2006)
15. Tubaro, P., Casilli, A.A.: An Ethnographic Seduction: How Qualitative Research and
Agent-based Models can Benefit Each Other. Bulletin de Méthodologie Sociologique 106,
59-74 (2010)
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