Knowledge Acquisition and Representation for High-Performance Building Design: A Review for Defining Requirements for Developing a Design Expert System
نویسندگان
چکیده
New functions and requirements of high performance building (HPB) being added several regulations certification conditions reinforced steadily make it harder for designers to decide HPB designs alone. Although many wish rely on consultants advice, not all projects can afford consultants. We expect that, in the near future, computer aids such as design expert systems help by providing role The effectiveness success or failure solution offered system must be affected quality, systemic structure, resilience, applicability knowledge. This study aims set problem definition category required existing designs, find knowledge acquisition representation methods that are most suitable based literature review. from past 10 years revealed greatest features increasing proportion computer-based data analytics using machine learning algorithms, whereas rules, frames, cognitive maps derived heuristics conventional formalisms traditional systems. Moreover, applied only literally raw observations measurement, but also discrete processed results simulations composite rules order derive latent rule, hidden pattern, trends. Furthermore, there is a clear trend prefer method decision support tools propose directly optimizer does. due lack resources time execute evaluation analysis alternatives themselves, even if they have sufficient experience HPB. However, because risk responsibility final should taken solely, afraid convenient black box making provided machines. If process primary which frame reach how transparently open designers, made will able obtain more trust designers. transparent would comply with requirement specified recent flexible environments give creative control freedom over options, when compared an automated optimization approach.
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ژورنال
عنوان ژورنال: Sustainability
سال: 2021
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su13094640