Mathematics & AI

Mathematics & AI

Mathematics & AI is an open-access, peer-reviewed journal at the intersection of mathematics and artificial intelligence. The journal publishes original research in mathematical foundations of AI, machine learning theory, optimization, statistical learning, neural network analysis, computational mat...
Article #1038
Issue MathAI 2026 Selected Papers Special Issue
Received 20 May 2026
Accepted 30 Jun 2026
Published 15 Jul 2026

Task-Based Engineering

D
Dmitry I. Sviridenko *
MathAI 2026 Selected Papers Special Issue
Mathematics & AI 2026, 1(2), 33
DOI: 10.66693/mathai.1038 Published: July 15, 2026 Accepted: June 30, 2026 Received: May 20, 2026
CC BY 4.0 Open access. This article is licensed under a Creative Commons Attribution 4.0 International Licence, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, provided you give appropriate credit to the authors and the source and indicate if changes were made. Copyright remains with the authors.

Abstract

The article describes the main methodological principles of a new scientific-engineering discipline — task-based engineering, which represents a synergistic integration of the task-based approach, engineering and agent-based AI. The features of each component of task-based engineering are examined, including their advantages and disadvantages. A conceptual model of the new discipline is presented, and its key principles, methodological framework and application potential are elucidated. Differences from related fields are highlighted, and the challenges and development prospects are outlined.

Cite this article

Sviridenko, D. I. Task-Based Engineering. Mathematics & AI 2026, 1(2), 33. https://doi.org/10.66693/mathai.1038

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