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The development of artificial intelligence (AI) methods and, in particular, neural network modeling plays an important role in the digitalization of construction. The problems of introducing digitalization elements into the activities of construction organizations include various aspects: the trend towards automation; the introduction of various tools, in particular BIM modeling, at all levels of investment and construction project management, etc. Despite the numerous publications on this issue, there are practically no studies on the systemic implementation, for example, generative design, which includes the creation of design and estimate documentation based on a generative design model based on working documentation. Due to the fact that the introduction of neural network modeling into the activities of construction organizations has been little studied, the problem in this formulation is considered for the first time.
The purpose of this study is to analyze the possibilities of using neural network modeling in construction and to find the limit of digital transformation based on the study of the concept of singularity. As a result of the study, it was concluded that since the process of digitalization of the economy is not complete, and there are no clear models by which it would be possible to calculate all economic indicators of the organization's activities both in the short and long term, it can be assumed that, unlike existing methods, neural network modeling of processes can be applied in solving the problem of formalization, for example, the process of increasing the competitiveness or efficiency of construction organizations in the context of digitalization and a high degree of environmental uncertainty, the influence of risks and stochastic factors.
Keywords:neural network modeling, artificial intelligence, generative design, construction, digital transformation, singularity.
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