Participatory Multi-agent System Modeling for Collective Watershed Management in Northern Thailand : a Companion Modeling Method
نویسندگان
چکیده
The companion modeling approach was used to facilitate collective learning process of key stakeholders of a highland watershed in northern Thailand, where a socialagroecosystem is located within the multiple political layers of resource uses and management. After analysis of the system, role-playing games (RPG) were conducted with stakeholders using simplified rules and a virtual environment. Performing the role allowed players to understand the consequences of their individual role on dynamic processes of the whole system. Information obtained from the games supplemented with interviews mutually improved knowledge of both researcher and stakeholders. The design and results from the games were applied to multi-agents system (MAS) model design using Unified Modeling Language (UML). Cormas platform was used to develop computer MAS model to replicate the dynamics and phenomena in the games. The aim is to apply the model in the field allowing stakeholders to verify, experiment with interesting scenario that could result in alternative sustainable resource management strategies desirable for all parties.
منابع مشابه
Participatory Multi-agent Systems Modeling for Collective Watershed Management: The Use of Role Playing Game
Scarce farm land and water resources in the highland watersheds of northern Thailand coupled with multiple users have led to conflicts among stakeholders who play important roles in the system dynamics. Integrating companion modeling and multi-agent systems (MAS) can facilitate adaptive learning processes to result in a decentralized collective management strategy that meets the balanced needs ...
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Scarce farm land and water resources in the highland watersheds of northern Thailand coupled with multiple users have led to conflicts among stakeholders who play important roles in the system dynamics. Integrating companion modeling and multi-agent systems (MAS) can facilitate adaptive learning processes to result in a decentralized collective management strategy that meets the balanced needs ...
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