Formed in the cultural sphere of modernism, Adaptable Architecture is envisioned in an architectural environment that is able to respond to individual preferences, desires and needs. The aim is to provide immediate services and facilities to fulfill the vision of Sustainable Architecture. Its applications can be proactively enhanced and cater for people's life and needs either through autonomous/adaptive or user-driven control. This conceptual problem related to the architectural design and its construction as well as renovations over the lifecycle of the house. This concept paper examines the analogies of transformations in Adaptable Housing by looking at their intentions in the Open Building System and the application of Industrialized Building System from an Islamic perspective. In a broader sense, this encompasses innovative participatory processes for better residential personalization methods and a carefully worked out design of the support and infill systems with a considerable degree of variations. This will be facilitated for renovation and expansion works that are currently limited to housing. The study assumes that the ability to use the Industrialized Building Systems can be applied to the housing projects in Southeast Asian countries including Brunei Darussalam. It argues that the Adaptable Architecture involves a paradigm of functionalist flexibility in transforming the architecture into systems, programming and laws. In contrast, the alternative type of Adaptable Architecture seems close to Knowledge Management organizational theory for indeterminately flexible spaces. This paper further examines contemporary attempts to incorporate conceptual guidelines towards this end of the application of Islamic perspective. This paper concludes with considerations for a new adaptable housing model that is integrated with current key factors such as building systems as well as architectural programming in addressing predictable, and unpredictable, social and economic trends.

Topics
Sustainable architecture, Artificial intelligence
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