Epistemological Foundations of Modeling in Motor Action Research: A Narrative Review
DOI:
https://doi.org/10.17309/jltm.2026.7.1.03Keywords:
modeling, epistemology, motor actions, complex systems, biotechnical systems, knowledge construction, information processingAbstract
Background. Modeling is widely used in motor action research; however, its epistemological role remains insufficiently conceptualized. Existing approaches primarily treat modeling as a descriptive or predictive tool, overlooking its function in scientific knowledge construction.
Purpose. The aim of this study was to substantiate modeling as an epistemological mechanism of scientific cognition in motor action research and to systematize its key functions in the transition from data to knowledge.
Methods. A narrative review was conducted based on the analysis of conceptual publications, including author’s works and conference materials, as well as studies addressing general principles of modeling and scientific cognition. The analytical strategy involved reconstruction of conceptual development and identification of epistemic structures underlying modeling processes.
Results. Modeling is interpreted as a mediated cognitive process that integrates analogy, analysis, synthesis, and formalization. Its epistemic functions include structuring empirical data, reducing uncertainty, establishing relationships between system elements, and enabling the transition from data to information and knowledge. Motor actions are considered as complex, hierarchical systems requiring integrative models that account for biomechanical, physiological, and cognitive components. The concept of biotechnical systems is introduced as a framework for instrumental mediation, enabling synchronized data acquisition, interpretation, and feedback-based control. A conceptual epistemic model of the transition from data to information and knowledge is proposed.
Conclusions. Modeling should be regarded as a central epistemological mechanism in motor action research, providing a theoretical and methodological basis for understanding, analyzing, and managing complex movement systems.
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Copyright (c) 2026 Anatolii Lopatiev, Pavol Bartik, Mirosława Cieślicka
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