Collective Intelligence to Optimise Climate Mitigation Performance in Smart Cities

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There is a serious lack of cross-sector collaboration and citizen participation in the development of climate adaptation actions. In addition, little research has been done using intelligent techniques in the future sustainable smart city context to explore collective efforts. This research will develop innovative collective intelligence methods to tackle climate adaption problems. Collective intelligence refers to the adaptive ability of government policies, intervention technologies and citizens in response to climate change through collective learning and evolutionary processes. Government policies, intervention technologies and citizens will be represented using the evolutionary multi-agent. Genetic Algorithm (GA) will be integrated with multi-agent models to enhance human and artificial intelligence for the optimisation of climate adaptation performance in sustainable smart cities. This research will establish cutting-edge collective intelligence methods and advance knowledge in related cross-disciplinary fields.

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Supervisory team
Lan
Ding

Built Environment
Architecture and Design
Mattheos
Santamouris

Built Environment
Architecture and Design
Kathryn
Kasmarik

UNSW Canberra
UNSW Canberra
Lan.Ding@unsw.edu.au

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