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Agent based modelling for resource allocation - game theory and optimisation
This research investigates the water management in decentralized manner. Conventional modelling approaches are under central planner suggesting only one criterion to consider. However, moving towards the decentralized modelling, each agent in a system act selfishly in its own favour. Modelling in such a context for representing a real-world system introduces a challenge which can be analysed through quantitative game theory and numerical optimisation. Research on this work develops a model on how to use agent based modelling technique for effective water resource management. The skills you learn can be used in any resource allocation context where self-interested users are looking for their best trade-off of actions.
1 Researchers
  • Dept of Civil, Environ &Geomatic Eng
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