Abstract
Architects have dreamed to design buildings that could “adapt infinitely to an uncertain future” (Heathcote, 2017). This thesis challenges the idea of permanence in architecture that does not sustain to the everchanging demands in society and users. Rapid development in technology results in human behavioural changes and functional changes in aspects of architecture. Existing parts or whole of buildings become obselete at an increasing rate, demanding for architecture that responds to the changes in behaviour and function of its inhabitants and environments. This thesis explores the potential for evolving architecture to adapt to unpredictable changes through the interaction and correlation of parts within a whole. Adaptive correlation between singular units and its collective investigates on ideas of impermanence and modularity on the urban, agglomeration and unit scale. Coupled with the integration of generative computational tools, the thesis seeks to create complex correlations within the morphological, aggregation and circulation system. The thesis analyses correlations apparent in precedents from pre-computational and computational influences. Through the understanding of current technological advancements, this thesis aims to design an interactive network system of adaptability in evolving architecture. Generative computational processes investigates in a system of relationships, where generated patterns from these processes will be translated into architectural propositions. By leveraging on big data, these computational processes will be further developed to as an integral complex correlation between the units, collective and the system.