Exploring Empirical-Theoretical Approaches for Conceptualizing and Specifying Cognitive Solutions in Complex Informally Structured Domains

The involvement of multiple social, technical, cultural, and scientific aspects makes domains concerning the human factor inherently complex. For instance, work stress, with its dynamic nature and ambiguous boundaries, falls under what is referred to as a complex informal structured domain (CISD). O...

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Veröffentlicht in:Programming and computer software Jg. 50; H. 8; S. 714 - 724
Hauptverfasser: Jiménez-Galina, A., Olmos-Sánchez, K., Maldonado-Macias, A., Licona-Olmos, J., Sánchez-Solís, P.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Moscow Pleiades Publishing 01.12.2024
Springer Nature B.V
Schlagworte:
Ambiguity
Artificial Intelligence
Collaboration
Computer Science
Decision making
Employees
Employers
Knowledge management
Literature reviews
Machine learning
Occupational stress
Operating Systems
Productivity
Psychologists
Risk factors
Software Engineering
Software Engineering/Programming and Operating Systems
Specifications
Supervisors
Work environment
Workers
Mexico
ISSN:0361-7688, 1608-3261
Online-Zugang:Volltext
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Zusammenfassung:The involvement of multiple social, technical, cultural, and scientific aspects makes domains concerning the human factor inherently complex. For instance, work stress, with its dynamic nature and ambiguous boundaries, falls under what is referred to as a complex informal structured domain (CISD). Organizational decision-making, competitive advantage, innovation, and employee empowerment heavily rely on cognitive solutions enabling a profound understanding of complex scenarios and their implications. However, implementing such cognitive solutions in computer science within these domains presents a significant challenge. This article thoroughly explores and analyzes three empirical-theoretical approaches to conceptualize and specify cognitive solutions for real-world problems in CISD. These approaches involve a literature review on the use of specific machine learning artificial intelligence techniques to build work stress prevention models, employing cognitive solutions like ontologies, and integrating a systemic methodological framework for conceptualization and specification. This exploration underscores the necessity for a methodological model that effectively supports the conceptualization and specification of cognitive solutions in CISD. Additionally, the article elucidates the progress of the proposed methodological model, utilizing systemic thinking and knowledge management to develop effective, desirable, and feasible cognitive solutions that robustly facilitate decision-making in organizations.
Bibliographie:ObjectType-Article-1
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ISSN:0361-7688
1608-3261
DOI:10.1134/S0361768824700725