Suitability of Multi-Agent Simulations to study irrigated system viability: application to case studies in the Senegal River Valley

Abstract It is assumed that Agent-Based Modeling is a useful technique for water management issues. In particular, it may provide a suitable framework for representing irrigated systems. The objective of this paper is to demonstrate its potential for a specific use: research on irrigated systems’ viability in the Senegal River Valley. The main assumption to be verified is that Multi-Agent Systems constitute a suitable architecture to study theoretically irrigated systems’ viability using simulations. By using Multi-Agent Systems, virtual irrigated systems can be designed that might then be used as virtual laboratories. These virtual labs constitute an alternative when real labs cannot exist for some reason. In this paper we report on experiments we have conducted using such virtual labs for exploring an Agent-Based Model through the simulation of scenarios. A scenario is defined as a triplet: an environment, a set of individual rules, a set of collective rules. It is evaluated according to the longevity of the irrigated system. An index is defined, based on the ratio of long-enduring simulations among a set of repetitions of a given scenario. Even if simulation results display significant diversity for a given scenario due to random factors in the processes simulated, the ratio of long-enduring simulations is repeatable. This entails to explore the overall behavior of the virtual irrigated system and to build theories concerning the viability of Senegalese irrigated systems. An example is given showing the need for strong coherence for a given environment among individual rules and collective rules.

[1]  A. Rafea,et al.  Guiding object-oriented design via the knowledge level architecture , 1994 .

[2]  Paul Mathieu,et al.  Social relationships and effective irrigation projects , 1995 .

[3]  C. Mullon,et al.  An environmental modelling approach : the use of multi-agent simulations , 1988 .

[4]  R. W. McClendon,et al.  A Blackboard Approach for Resolving Conflicting Irrigation and Insecticide Scheduling Recommendations , 1992 .

[5]  Sidi mohammed Seck,et al.  Gestion et organisation des aménagements irrigués en exploitation paysanne dans la vallée du Sénégal / Management and organisation of irrigation on peasant farmer holdings in the Senegal valley , 1990 .

[6]  Zvi Hochman,et al.  X-Breed: a multiple-domain knowledge based system integrated through a blackboard architecture , 1995 .

[7]  Jean-Christophe Poussin,et al.  Nianga, laboratoire de l'agriculture irriguée en moyenne vallée du Sénégal , 1995 .

[8]  Elinor Ostrom,et al.  Design principles and the performance of farmer-managed irrigation systems in Nepal , 1993 .

[9]  Olivier Barreteau Un systeme multi-agent pour explorer la viabilite des systemes irrigues : dynamique des interactions et modes d'organisation , 1998 .

[10]  Alberto Prieto,et al.  New Trends in Neural Computation , 1993 .

[11]  Michelle Hegmon,et al.  Risk Reduction and Variation in Agricultural Economies: A Computer Simulation of Hopi Agriculture , 1989 .

[12]  James E. Rumbaugh,et al.  Object-Oriented Modelling and Design , 1991 .

[13]  François Bousquet,et al.  Role-playing games for opening the black box of multi-agent systems: method and lessons of its application to Senegal River Valley irrigated systems , 2001, J. Artif. Soc. Soc. Simul..

[14]  J. B. Dent,et al.  Simulation of ecological, social and economic factors in agricultural systems. , 1995 .

[15]  François Bousquet,et al.  SHADOC: a multi‐agent model to tackle viability of irrigated systems , 2000, Ann. Oper. Res..

[16]  G. Nigel Gilbert,et al.  Simulation for the social scientist , 1999 .

[17]  Michaël Dingkuhn,et al.  Irrigated rice in the Sahel : prospects for sustainable development , 1997 .

[18]  François Bousquet,et al.  Evolution and co-evolution of individuals and groups in environment , 1998, Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160).

[19]  Philippus Wester Locally managed irrigation in the Senegal River Valley in the aftermath of state disengagement , 1995 .

[20]  Jim Doran,et al.  Trajectories to complexity in artificial societies: rationality, belief, and emotions , 2000 .

[21]  N. DeClaris,et al.  A neural network based approach to knowledge acquisition and expert systems , 1993, Proceedings of IEEE Systems Man and Cybernetics Conference - SMC.

[22]  F. Blasco,et al.  Advances in Environmental and Ecological Modelling , 1999 .

[23]  Timothy A. Kohler,et al.  Putting social sciences together again: an introduction to the volume , 2000 .

[24]  S. H. Scheer Communication between irrigation engineers and farmers : the case of project design in North Senegal , 1996 .