Computational Intelligence: Retrospection and Future

Witold Pedrycz

Department of Electrical & Computer Engineering, University of Alberta
Edmonton, AB, T6R 2V4, Canada

Received:

October 13, 2016

Accepted:

December 5, 2016

Published:

January 20, 2017

Keywords:

computational intelligence, synergy, neural networks, fuzzy sets, granular computing

Abstract

This study is aimed at a brief, carefully focused retrospective view at the Computational Intelligence – a paradigm supporting the analysis and synthesis of intelligent systems. We stress the reason behind the emergence of this discipline and identify its main features. We highlight the synergistic aspects of Computational Intelligence arising from an interaction and collaboration of fuzzy sets, neural networks, and evolutionary optimization. Some promising directions of future fundamental and applied research are also identified.

Cite this article as:

W. Pedrycz, “Computational Intelligence: Retrospection and Future,” J. Adv. Comput. Intell. Intell. Inform., Vol.21 No.1, pp. 9-12, 2017.

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References

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