A Detailed Study on Introduction of Computational Intelligence
DOI:
https://doi.org/10.5281/zenodo.15309780Keywords:
Computational Intelligence, Symbolic Reasoning, Artificial Neural Network, Fuzzy SystemAbstract
This article demonstrates an analysis of Computational Intelligence (CI) through its crucial concepts together with principles and implementation examples in the field of artificial intelligence. The core computational models in CI help replicate human reasoning and solve complex problems through neural networks as well as fuzzy systems alongside evolutionary algorithms while hybrid systems interpolate their benefits. The paper demonstrates CI development from inception to present day while focusing on eminent milestones alongside CI adoption across data mining and robotic control and optimal decision making applications. The chapter explores both theoretical perspectives of CI and provides an evaluation of its strengths and limitations. This paper uses different examples to validate the importance and usage of CI in modern technology before establishing directions for future research in this developing field. The obtained outcomes demonstrate that CI methods can reach practical use after implementing improvements. This paper delivers an extensive overview of CI principles to support researchers and practitioners so they can boost innovation alongside cross-disciplinary work in this developing field.
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Copyright (c) 2025 Nikita Saklani, Kanchan Bade
This work is licensed under a Creative Commons Attribution 4.0 International License.
Research Articles in 'International Journal of Engineering and Management Research' are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/. This license allows you to share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and build upon the material for any purpose, even commercially.
