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February 2, 20260 citations

Cognitive Modeling and its Applications in Industry: a Systematized Literature Review

SSSérgio Santos SilvaLALynn Rosalina Gama Alves

Key Points

  • The aim is to explore cognitive computing modeling processes within the industrial sector and identify practical applications, advantages, and challenges.
  • Conducted a systematic review of studies published from 2019 to 2024
  • Compared six selected studies focusing on cognitive computing modeling in industry
  • Grouped findings based on three guiding questions
  • Identified practical applications and advantages of cognitive computing in various industries
  • Highlighted limitations and challenges faced in implementation
  • Provided recommendations for future research and practices in cognitive computing applications

Abstract

Cognitive Computing (CC), as a promising technological paradigm, brings computational systems closer to human reasoning in order to solve complex problems across sectors that demand efficiency, reliability, and innovation. This article presents an analysis of CC modeling processes applied to the industrial sector, through a Systematic Review (SR) of studies published between 2019 and 2024. The results, organized around three guiding questions, enabled the comparison of six selected studies, highlighting their practical applications, advantages, and limitations. The conclusions demonstrate the potential of CC in industrial applications and its integration with emerging technologies. The study also identifies challenges and research gaps, and provides recommendations for future practices and investigations.

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Cite This Study

Silva et al. (2026) studied this question.

synapsesocial.com/papers/6980ffa4c1c9540dea81257dhttps://doi.org/10.22456/2175-2745.146990
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