On Selected Methods of Machine Learning for Environment

Authors

Štefan Puci
Pavol Jozef Šafárik University in Košice, Faculty of Science
https://orcid.org/0009-0006-8673-5551
Matúš Semančík
Pavol Jozef Šafárik University in Košice, Faculty of Science
https://orcid.org/0009-0001-2417-0851
Manohar Gowdru Shridhara
Pavol Jozef Šafárik University in Košice, Faculty of Science
Ľubomír Antoni
Pavol Jozef Šafárik University in Košice, Faculty of Science
https://orcid.org/0000-0002-7526-8146
Gabriel Semanišin
Pavol Jozef Šafárik University in Košice, Faculty of Science
https://orcid.org/0000-0002-5837-2566
DOI: https://doi.org/10.18690/um.fov.3.2026.51

Synopsis

Machine learning methods are increasingly used to analyze complex systems in both natural and social environments. In this paper, we present an overview of selected types of machine learning (reinforcement learning, supervised learning, and unsupervised learning), and discuss their applicability to environmental monitoring and simulated social environments. Supervised learning methods are shown to support prediction and classification tasks based on labeled environmental and social data, while unsupervised learning enables the discovery of hidden structures and patterns without prior labeling. We present reinforcement learning as a framework for adaptive decision-making, allowing agents to learn optimal behavior through interaction with dynamic environments. We provide illustrative examples, including weight updates in neural networks and Q-learning updates, to clarify the learning mechanisms. The presented approaches demonstrate the practical relevance of machine learning for modeling, analyzing, and understanding socio-environmental systems.

Author Biographies

Štefan Puci, Pavol Jozef Šafárik University in Košice, Faculty of Science

Štefan Puci is a PhD student at Faculty of Science, Pavol Jozef Šafárik University in Košice. His research interests focus on reinforcement learning, AI agents, and other methods of machine learning.

Košice, Slovakia. E-mail: stefan.puci@student.upjs.sk

Matúš Semančík, Pavol Jozef Šafárik University in Košice, Faculty of Science

Matúš Semančík is a PhD student at the Faculty of Science, Pavol Jozef Šafárik University in Košice. His research interests include dynamical systems and fuzzy logic.

Košice, Slovakia. E-mail: matus.semancik@student.upjs.sk

Manohar Gowdru Shridhara, Pavol Jozef Šafárik University in Košice, Faculty of Science

Manohar Gowdru Shridhara is a PhD student at the Faculty of Science, Pavol Jozef Šafárik University in Košice. His research interests include machine learning and optimization techniques.

Košice, Slovakia. E-mail: manohar.gowdru.shridhara@student.upjs.sk

Ľubomír Antoni, Pavol Jozef Šafárik University in Košice, Faculty of Science

Ľubomír Antoni is an associate professor at the Institute of Computer Science, Faculty of Science, Pavol Jozef Šafárik University in Košice. His research interests include artificial intelligence, fuzzy systems, data mining, and applied machine learning.

Košice, Slovakia. E-mail: lubomir.antoni@upjs.sk

Gabriel Semanišin, Pavol Jozef Šafárik University in Košice, Faculty of Science

Gabriel Semanišin is a professor of Computer Science at Faculty of Science, Pavol Jozef Šafárik University in Košice. As part of his research activities, he focuses mainly on algorithmic graph theory and its application in various areas of theoretical and applied informatics. He is a co-guarantor of the study programs Applied Informatics, Data Analysis and Artificial Intelligence and Computer Science. He was a supervisor of 6 PhD students in study programs Computer Science, Discrete Mathematics and Theory of Teaching Informatics.

Košice, Slovakia. E-mail: gabriel.semanisin@upjs.sk

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Volume

45th International Conference on Organizational Science Development: Organization and the Longevity Society, Conference Proceedings

Pages

699-712

Published

March 17, 2026

Series

Razvoj organizacijskih znanosti

Categories

Copyright (c) 2026 University of Maribor, University of Maribor Press

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Puci, Štefan, Semančík, M., Gowdru Shridhara, M., Antoni, Ľubomír, & Semanišin, G. (2026). On Selected Methods of Machine Learning for Environment. In P. Šprajc, D. Maletič, N. Petrović, I. Iztok, A. Škraba, D. Tomić, & A. Žnidaršič Mohorič (Eds.), & (Ed.), 45th International Conference on Organizational Science Development: Organization and the Longevity Society, Conference Proceedings (Vols. 45., pp. 699-712). University of Maribor Press. https://doi.org/10.18690/um.fov.3.2026.51