IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01744739.html
   My bibliography  Save this paper

Implementing the Agent-Group-Role architecture in an irrigation water management application

Author

Listed:
  • Geraldine Abrami

    (UR IRMO - Irrigation - CEMAGREF - Centre national du machinisme agricole, du génie rural, des eaux et forêts)

  • Olivier Barreteau

    (UR IRMO - Irrigation - CEMAGREF - Centre national du machinisme agricole, du génie rural, des eaux et forêts)

  • Flavie Cernesson

    (UMR 3S - Structures et Systèmes Spatiaux - ENGREF - Ecole Nationale du Génie Rural, des Eaux et des Forêts - CEMAGREF - Centre national du machinisme agricole, du génie rural, des eaux et forêts)

  • Sylvie Lardon

    (ENGREF - Ecole Nationale du Génie Rural, des Eaux et des Forêts)

Abstract

Agent based models (ABMs) can be used to support the assessment of water management policies impact on the resource and its users. ABMs are then to explore the link between collective rules and individual behaviours, and more globally, the influence of constraints belonging to some organization level over dynamics belonging to another one. Our objective is to test how a specific multi-agent architecture which explicitly handles dynamic groups and roles can tackle complexity and enhance models representation power and modularity We experiment our approach over a toy situation in order to properly address conceptual and implementation issues. Organization levels are modelled as groups, functions of agents in these levels are modelled as roles. Roles represent the mechanical aspects of an agent implication within a group : collective rules awareness on the one hand, archetypal organizational behaviors on the other hand. Agents express their individuality choosing or parameterizing their roles. Playing roles in different groups, they are the interaction vectors between the organization levels they participate in. This entails to separate reactive behavioural patterns on the role side and cognitive ones on the agent side.

Suggested Citation

  • Geraldine Abrami & Olivier Barreteau & Flavie Cernesson & Sylvie Lardon, 2003. "Implementing the Agent-Group-Role architecture in an irrigation water management application," Post-Print hal-01744739, HAL.
    • Handle: RePEc:hal:journl:hal-01744739
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-01744739. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.