An Agent-based simulation for water sharing between different users

In France, water sharing has become a serious problem. We observed that many negotiations take place at local level between farmers, water suppliers, public services and environmentalists to allocate water resources between users. We suggest that Agent-Based Modelling (ABM) using a multi-agent approach could help negotiations. The model intends to show to negotiators possible consequences of different rules to share water. These consequences are evaluated upon different criteria. The model is based on different type of agents with different behaviour.

[1]  Michael Wooldridge,et al.  Foundations of Rational Agency , 1999 .

[2]  Jim Doran,et al.  Agent-Based Modelling of Ecosystems for Sustainable Resource Management , 2001, EASSS.

[3]  Pavlos Moraitis,et al.  A distributed decision support system for strategic planning , 1997, Decis. Support Syst..

[4]  E. Ostrom,et al.  Rules, Games, and Common-Pool Resources , 1994 .

[5]  Rosaria Conte The necessity of intelligent agents in social simulation , 2000, Adv. Complex Syst..

[6]  Edward J. Rykiel,et al.  Testing ecological models: the meaning of validation , 1996 .

[7]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[8]  Scott Moss,et al.  Game Theory: Limitations and an Alternative , 2001, J. Artif. Soc. Soc. Simul..

[9]  Jayadev Misra,et al.  Distributed discrete-event simulation , 1986, CSUR.

[10]  J. Baron Rationality and Intelligence , 1985 .

[11]  Sophie Thoyer,et al.  A Bargaining Model to Simulate Negotiations between Water Users , 2001, J. Artif. Soc. Soc. Simul..

[12]  Herbert A. Simon,et al.  The Sciences of the Artificial , 1970 .

[13]  J. Donnelly,et al.  DECISION SUPPORT : DELIVERING THE BENEFITS OF GRAZING SYSTEMS RESEARCH , 1999 .

[14]  Michael Wooldridge,et al.  Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence , 1999 .

[15]  R. Hegselmann,et al.  Simulating Social Phenomena , 1997 .

[16]  P. A. Losty,et al.  A Behavioural Theory of the Firm , 1965 .

[17]  Nicholas R. Jennings,et al.  Foundations of distributed artificial intelligence , 1996, Sixth-generation computer technology series.

[18]  Jacques Ferber,et al.  Les Systèmes multi-agents: vers une intelligence collective , 1995 .

[19]  Ira Rudowsky,et al.  Intelligent Agents , 2004, Commun. Assoc. Inf. Syst..

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

[21]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[22]  E. Johnsen Richard M. Cyert & James G. March, A Behavioral Theory of The Firm, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1963, 332 s. , 1964 .

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