ANALYSIS OF SYMBOLIC AI AND CONNECTIONIST AI APPROACHES

Authors

  • Rihards Jastržemskis Rezekne Academy of Technologies, Rezekne (LV)
  • Dr.sc.ing., asoc.prof. Pēteris Grabusts Rezekne Academy of Technologies, Rezekne (LV)

DOI:

https://doi.org/10.17770/het2024.28.8257

Keywords:

Artificial Intelligence, AI, Algorithms, Principles, Methodologies

Abstract

This research project aims to conduct a comparative analysis of two prominent paradigms within artificial intelligence: Symbolic AI (also known as classical AI or GOFAI - Good Old-Fashioned AI) and Connectionist AI (also known as neural network-based AI). Both approaches have played significant roles in the development of AI systems, but they differ in their underlying principles, methodologies, and applications. By comparing and contrasting these two approaches, this study seeks to provide insights into their strengths, weaknesses, and suitability for different types of AI tasks.

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References

Neuro-Symbolic AI. Images used in my articles are… | by Surya Maddula | Medium

Connectionism (Stanford Encyclopedia of Philosophy)

AI for Beginners - The Difference Between Symbolic & Connectionist AI (re-work.co)

Symbolic vs Connectionist A.I.. As Connectionist techniques such as… | by Josef Bajada | Towards Data Science

Symbols versus connections: 50 years of artificial intelligence - ScienceDirect

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Published

2024-09-10

Issue

No. 28 (2024): Human. Environment. Technology

Section

Articles

How to Cite

[1]
R. Jastržemskis and P. Grabusts, “ANALYSIS OF SYMBOLIC AI AND CONNECTIONIST AI APPROACHES”, HET, no. 28, pp. 44–47, Sep. 2024, doi: 10.17770/het2024.28.8257.