AI-based task distribution: a comparison of skill-based and traditional approaches

Authors

  • R.V. Slobodian Vinnytsia National Technical University
  • I.V. Bogach Vinnytsia National Technical University

DOI:

https://doi.org/10.31649/1681-7893-2025-50-2-340-347

Keywords:

task distribution, artificial intelligence, skill matching, prompt engineering, task assignment automation

Abstract

The paper presents a practical solution for intelligent task distribution using AI by matching the skill requirements of a task with the skills of available agents. A comparative analysis with traditional task distribution methods is provided. Testing results confirm that the proposed solution delivers high accuracy and adaptability, making it suitable for modern companies seeking an approach that is easy to implement and flexible in use.

Author Biographies

R.V. Slobodian, Vinnytsia National Technical University

PhD student of Automation and Intelligent Information Technologies Department

I.V. Bogach, Vinnytsia National Technical University

Associate Professor of Automation and Intelligent Information Technologies Department

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Abstract views: 93

Published

2026-01-12

How to Cite

[1]
R. Slobodian and I. Bogach, “AI-based task distribution: a comparison of skill-based and traditional approaches”, Опт-ел. інф-енерг. техн., vol. 50, no. 2, pp. 340–347, Jan. 2026.

Issue

Vol. 50 No. 2 (2025)

Section

Alternative Scientific Ideas and Hypotheses

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