Cyber Physical Systems using Artificial Intelligence

AbstractAn overview of the literature on the present and upcoming difficulties in applying artificialintelligence (AI) to cyber-physical systems is done in this article. Finding a conceptual framework forenhancing AI resilience through automation that supports both technical and human levels is themain goal of the literature study. The technique used was similar to a taxonomic study andliterature assessment of intricate cyber-physical systems that are integrated and interrelated. Inboth scholarly and technical publications, proposals on IoT models, infrastructures, andframeworks are receiving more attention. Often, these articles and studies juxtapose variousrelevant technologies and systems (e.g., Industry 4.0, Cyber Physical Systems, Industrial Internet ofThings, etc.). We examine scholarly and commercial works released from 2010 to 2020.The findings establish a novel conceptual framework for analyzing the development of AIdecision-making in cyber-physical systems that is hierarchical and cascading. We contend that thegrowing integration of connected devices (IoT) in cyber-physical systems makes such development both inevitable and self-governing. By creatingsummary maps that are used to develop the hierarchical cascade conceptual framework,taxonomy methodology is modified and implemented for transparency and reasons of ideasselection judgments in order to bolster this claim.