Explaining the Theoretical Model of Knowledge Management Process in Building Automated Facade Design Intelligence

Because of the very rapid growth of knowledge in both meaning and volume, knowledge management is a necessity, and not doing it reduces usefulness. This applies to all sciences, including architecture. One of the signs of the rapid growth of architectural knowledge in the last decade is the increase of software with various functions to solve architectural problems which shows the increase in data volume and the multi-factor nature of design processes. Therefore, the purpose of this study is to achieve a theoretical model and provide a proposal for the implementation of knowledge management using artificial intelligence in the architectural design process. This paper uses a qualitative method that is the basis of conceptual models of the knowledge discovery data (KDD) process and is an exploratory study to highlight the functions associated with applying the knowgedge management (KM) process in architecture. The result of this research is to present a simulated model of knowledge management in architecture and modeling of the process of building an automated design intelligence. According to the obtained results, the introduction of artificial intelligence to design the facade of buildings, can provide the process of data management, information and knowledge in architecture to achieve multifactorial design.