Toward autonomous artificial intelligence agents in sports science: a modular framework for development, validation, and implementation
К автономным агентам искусственного интеллекта в спортивной науке: модульная структура разработки, валидации и внедрения
2026-01-01
SCID: 54.1/hfqkjw48
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athlete managementautonomous artificial intelligence agentsmodular frameworksports sciencevalidation pathway
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Abstract (AI)
integrates fully autonomous agent systems across all domains into a unified platform with comprehensive cross-domain reasoning. This framework aimed to advance autonomous agent research from conceptual proposal to a structured implementation and validation pathway in evidence-based athlete management.
Key Findings
1
It provides a modular pathway covering agent development, validation, and implementation, moving beyond conceptual proposals toward structured deployment.
2
The framework emphasizes comprehensive cross-domain reasoning for autonomous agents in evidence-based athlete management.
3
The paper presents a unified platform intended to integrate fully autonomous artificial intelligence agents across sports-science domains.
4
The proposed approach targets practical advancement of autonomous-agent research within athlete-management applications.
Research Object
evidence-based athlete management
Research Subject
the development, validation, and implementation of fully autonomous artificial intelligence agents with cross-domain reasoning
Publication Details
Publication Date
2026-01-01
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