Abstract
The primary goal of this article in the research area of Advanced Engineering Informatics (AEIs) is to depict and formalize engineering knowledge that is multidimensional. This paper introduces conceptual framework and rationality as implicit methodologies to regularize knowledge. The objective of professionals, as well as the circumstances in which they work, should be considered when depicting and standardizing knowledge. The constructs of epistemology, rationality, and context are used to communicate various alternative data analysis techniques and practices that expert can use to institutionalize intricate engineering expertise and to substantiate whether a specialized conceptual model can support engineers with their challenging operations. A bottom-up method of research in advanced engineering, encompassing engineers, is suggested in this article. A social scientific approach to engendering knowledge for formalization and validating it is also recommended by us for scientists.
Highlights
Engineers develop complex physical infrastructures and components to remedy society's most pressing issues, as well as to raise the standard of living for individuals by inventing new technologies that can be analyzed, built, tested and maintained
RESEARCH With the goal of rededicating current research efforts toward developing computational modeling in designing as a whole, we contend that explicit knowledge is the primary ongoing research necessary for the growth of techniques that optimize mundane systems engineering but provide engineers with devices that enable them to do stuff they never had before
We first implement the philosophical ideas of representation of knowledge as well as mathematical formalism to concentrate scientific research in Advanced Engineering Informatics (AEIs) on representation of knowledge
Summary
Engineers develop complex physical infrastructures and components to remedy society's most pressing issues, as well as to raise the standard of living for individuals by inventing new technologies that can be analyzed, built, tested and maintained. Every aspect of engineering revolves around a prototype of any magnitude, structure or operate that can be created by engineers. Almost all engineering work is computerized, and technicians are routinely using computers to do their jobs. As a result of this, some engineering standards, such as structural engineering, are defined as “digital laggards”. There is a considerable resistance to using innovative strategies, as well as the additional benefits of using digitalization methods to enhance design engineering activities are often not interpreted, noticeable, or present. Engineers' reluctance to adopt advances in computational instruments has been contributed to their own cultural and professional characteristics
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