Specifying Cognitive Solutions in Complex Informally Structured Domains: Empirical Approaches
Alicia Margarita JIMÉNEZ GALINA,
Karla OLMOS-SÁNCHEZ,
Aide Aracely MALDONADO-MACÍAS,
Jazmín Georgina LICONA-OLMOS,
Julia Patricia SÁNCHEZ SOLIS https://doi.org/10.15514/ISPRAS-2024-36(6)-8
Abstract
The complexity of dealing with work-related stress as a Complex Informal Structured Domain (CISD) involves various social, technical, cultural, and scientific factors, which highlights the challenges posed by organizational decision-making and the need for cognitive solutions to improve understanding of such complex scenarios. The article discusses three empirical-theoretical approaches to conceptualizing and specifying cognitive solutions to real-world problems in CISD: A literature review examines the use of specific machine learning artificial algorithms to develop models for work stress prevention; the use of cognitive solutions as ontologies for explicit knowledge representation; and a systemic methodological framework that establishes a structured approach to conceptualization and specification. The exploration emphasizes the need for a methodological model that effectively supports these cognitive solutions, to improve organizational decision-making by leveraging systems thinking and knowledge management.
Supporting agencies: On behalf of all co-authors and collaborators, we express our most sincere gratitude and eternal admiration for Dr. Jazmín Georgina Licona Olmos. Her contribution was invaluable, and her legacy remains on these pages. She was a brilliant researcher, an exceptional mentor, and an inspiring person. The first author would also like to express her gratitude to the Consejo Nacional de Humanidades, Ciencias y Tecnologías (Conahcyt) for the fellowship support provided during my doctoral studies at the Programa de Doctorado en Ciencias de la Ingenieria Avanzada, Universidad Autónoma de Ciudad Juárez (UACJ).
About the Authors
Alicia Margarita JIMÉNEZ GALINA
Departamento de Ingeniería Eléctrica y Computación
Mexico
Mexico
Innovation Coordinator at the Center for Innovation and Integration of Advanced Technologies (CIITA) of the National Polytechnic Institute (IPN). She holds a Master's degree in Applied Computing, graduated with honors from the Autonomous University of Ciudad Juárez, and is currently pursuing a Ph.D. in Advanced Engineering Sciences. Research interests: complex systems architecture, innovation in environmental monitoring systems, custom software development, and database management.
Karla OLMOS-SÁNCHEZ
Departamento de Ingeniería Eléctrica y Computación
Mexico
Mexico
Completed her PhD studies in Engineering Sciences at the Autonomous University of Ciudad Juárez (UACJ) in Engineering and Knowledge Management. Additionally, she pursued her Master's degree at CENIDET (National Center for Research and Technological Development) in natural language processing and is currently part of the Applied Artificial Intelligence academic body. During her PhD, she developed the KMoS-RE strategy (Knowledge Management on a Strategy for Requirements Engineering), which primarily focuses on eliciting knowledge requirements in domains with informal structures to conceptualize cognitive solutions. This strategy has been published in various books, and international journal articles, and has been used in applied computing master’s projects for thesis solution conceptualization since 2015. In her academic career, Dr. Olmos has over 25 years of teaching experience in computer science-related subjects in the Computer Systems Engineering program at UACJ. She has also supervised several undergraduate, master’s, and doctoral theses. Additionally, she has coordinated the Applied Computing Master's program and led the conceptualization, analysis, and design of the Applied Cybersecurity Master's program at UACJ.
Aide Aracely MALDONADO-MACÍAS
Departamento de Ingeniería Industrial y Manufactura
Mexico
Mexico
Holds a Ph.D. in Industrial Engineering from the Instituto Tecnológico de Ciudad Juárez. She is currently a full-time Professor and Researcher at the Universidad Autónoma de Ciudad Juárez (UACJ). She is a Certified Professional Ergonomist by the Colegio de Ergonomistas de México and the current president of the Society of Ergonomists. She is also a member of the National System of Researchers as an SNI II. Dr. Maldonado received the 2018 State Science and Technology Award and the 2020 Distinguished Chihuahua Medal. She has published in multiple indexed and high-impact journals in both English and Spanish, with over 100 articles as an author or co-author and more than 10 books in English and Spanish. She is a reviewer and editor for prestigious journals and has also contributed to book chapters and authored books for internationally recognized publishers.
Jazmín Georgina LICONA-OLMOS
Instituto de Ciencias Básicas e Ingeniería
Mexico
Mexico
Completed her PhD in Systems Engineering at the National Polytechnic Institute and her Master's studies in Industrial Engineering at the Autonomous University of the State of Hidalgo. She has several applied research publications in Systemics and Complex Systems. In addition, she has an academic career of more than 20 years directing undergraduate and graduate theses.
Julia Patricia SÁNCHEZ SOLIS
Departamento de Ingeniería Eléctrica y Computación
Mexico
Mexico
Holds a PhD in Computer Science and has been a full-time professor at the Autonomous University of Ciudad Juárez since 2017. Her research interests include multi-objective optimization, machine learning, and bio-inspired metaheuristics.
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Review
For citations:
JIMÉNEZ GALINA A., OLMOS-SÁNCHEZ K., MALDONADO-MACÍAS A., LICONA-OLMOS J., SÁNCHEZ SOLIS J. Specifying Cognitive Solutions in Complex Informally Structured Domains: Empirical Approaches. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2024;36(6):149-160. https://doi.org/10.15514/ISPRAS-2024-36(6)-8
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