Big Data-driven Algorithmic Governance in Sustainable Smart Manufacturing: Robotic Process and Cognitive Automation Technologies
Big Data-driven Algorithmic Governance in Sustainable Smart Manufacturing: Robotic Process and Cognitive Automation Technologies

Summary/Abstract: With growing evidence of big data-driven algorithmic governance in sustainable smart manufacturing, there is an essential demand for comprehending robotic process and cognitive automation technologies. In this research, prior findings were cumulated indicating that artificial intelligence integrates cutting-edge performance for automating cognitive work. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout January and April 2021, with search terms including “cognitive automation tools and technologies,” “cognitive automation algorithms,” “cognitive robotic systems,” and “artificial cognitive control systems.” As we analyzed research published between 2011 and 2021, only 214 papers met the eligibility criteria. By eliminating controversial or unclear findings (insufficient/irrelevant data), results unsubstantiated by replication, too imprecise or undetailed content, and studies having quite similar titles, we decided on 21, mainly empirical, sources. Subsequent analyses should develop on cognitively automated manufacturing systems and artificial cognitive control archi- tectures.

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