SCIENTIFIC AND THEORETICAL ESSENCE OF THE HEURISTIC APPROACH

The heuristic approach is a scientific-theoretical concept that involvesusing creative thinking, intuitive decision-making, and experience-based methods tosolve problems. Unlike traditional algorithmic methods, this approach does not relyon rigid rules or sequential procedures; instead, it facilitates the generation of new ideas, the examination of problems from multiple perspectives, and the identification of optimal solutions. Heuristic methods are particularly effective in complex, ambiguous, and multi-option situations. Their scientific essence is linked to unlocking the creative potential of human thought, enabling independent knowledge acquisition, and making flexible decisions in problem-solving contexts.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-20
DOI
https://doi.org/10.5281/zenodo.19657498
Primary Topic
Complex Systems and Decision Making
Type
article
Field-Weighted Citation Impact
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article

SCIENTIFIC AND THEORETICAL ESSENCE OF THE HEURISTIC APPROACH

Matkarimov Muxiddin Muxammadovich
Zenodo (CERN European Organization for Nuclear Research)
Complex Systems and Decision Making
article

SCIENTIFIC AND THEORETICAL ESSENCE OF THE HEURISTIC APPROACH

Matkarimov Muxiddin Muxammadovich
article en

Abstract

The heuristic approach is a scientific-theoretical concept that involvesusing creative thinking, intuitive decision-making, and experience-based methods tosolve problems. Unlike traditional algorithmic methods, this approach does not relyon rigid rules or sequential procedures; instead, it facilitates the generation of new ideas, the examination of problems from multiple perspectives, and the identification of optimal solutions. Heuristic methods are particularly effective in complex, ambiguous, and multi-option situations. Their scientific essence is linked to unlocking the creative potential of human thought, enabling independent knowledge acquisition, and making flexible decisions in problem-solving contexts.

Zenodo (CERN European Organization for Nuclear Research)
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Openalex Percentile: Top 4%
Complex Systems and Decision Making
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