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Significance of Affective Sciences and Machine Intelligence to Decipher Complexity Rooting in Urban Sciences
Abstract
An urban system is a complex system. There are many factors which significantly influences the different aspects of it. The influencing factors possess different characteristics as they may be environmental, economical, socio-political or cognitive factors. It is not feasible to characterize an urban system with deterministic approach. Therefore there is a need of study on computational frameworks that can investigate cities from a system's perspective. This kind of study may help in devising different ways that can handle uncertainty and randomness of an urban system efficiently and effectively. Therefore the primary objective of this work is to highlight the significance of affective sciences in urban studies. In addition, how machine intelligence techniques can enable a system to control and monitor the randomness of a city is explained. Finally the utility of machine intelligence technique in deciphering the complexity of way finding is conceptually demonstrated.
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