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Introduction

  • Tiansi DongEmail author
Chapter
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Part of the Studies in Computational Intelligence book series (SCI, volume 910)

Abstract

The methodology in the research of Artificial Intelligence (AI) consists of two competing paradigms, namely symbolic approach and connectionist approach. The symbolic approach is based on symbolic structures and rules, in which thinking is reviewed as symbolic manipulation. Associated with this paradigm are features such as logical, serial, discrete, localized, left-brained. The connectionist approach is inspired by the physiology of the mind, in which thinking is reviewed as information fusion and transfer of a large network of neurons.

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

Authors and Affiliations

  1. 1.ML2R Competence Center for Machine Learning Rhine-Ruhr, MLAI Lab, AI Foundations Group, Bonn-Aachen International Center for Information Technology (b-it)University of BonnBonnGermany

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