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Related Experiment Video

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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

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A survey on neural-symbolic learning systems.

Dongran Yu¹, Bo Yang², Dayou Liu²

¹Key Laboratory of Symbolic Computation and Knowledge Engineer(Jilin University), Ministry of Education, Changchun, Jilin 130012, China; School of Artificial Intelligence, Jilin University, Changchun, Jilin, 130012, China.

Neural Networks : the Official Journal of the International Neural Network Society

|July 24, 2023

Summary

Neural-symbolic learning systems combine neural and symbolic AI to enhance both perception and cognition. This research surveys advancements, challenges, and future directions in this hybrid AI field.

Keywords:

Knowledge graphs Logic Neural networks Neural-symbolic learning systems Symbolic reasoning Symbols

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Area of Science:

Artificial Intelligence
Machine Learning
Cognitive Science

Background:

Neural systems excel at learning and perception but lack reasoning.
Symbolic systems offer strong cognitive abilities but have limited learning.
Combining both creates powerful neural-symbolic learning systems.

Purpose of the Study:

To provide a comprehensive survey of neural-symbolic learning systems.
To explore challenges, methods, applications, and future research directions.
To advance the emerging field of hybrid AI.

Main Methods:

Literature review and analysis of neural-symbolic learning systems.
Categorization of advancements based on key perspectives.
Identification of current trends and future research opportunities.

Main Results:

Neural-symbolic systems integrate perception and cognition effectively.
Key challenges in integrating neural and symbolic approaches are identified.
Diverse applications demonstrate the potential of hybrid AI.

Conclusions:

Neural-symbolic learning systems represent a promising frontier in AI.
Further research is needed to overcome integration challenges.
This field offers significant potential for advancing artificial general intelligence.