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Indic Pacific Glossary

Neurosymbolic AI

Date of Addition

22 March 2025

An advanced AI approach that integrates neural networks (for pattern recognition) with symbolic reasoning (rule-based logical processing). This hybrid architecture aims to combine the learning capabilities of deep learning with the interpretability and reasoning abilities of symbolic AI.


Neurosymbolic AI systems consist of multiple components working in harmony: a neural network for perception tasks, a symbolic reasoning engine for applying logical rules, an integration layer connecting these components, a knowledge base storing structured information, an explanation generator for transparency, and a user interface for human interaction. This approach offers advantages in explainability, accuracy, context understanding, flexibility, and complex problem-solving. Real-world applications include financial fraud detection, customer support systems, supply chain optimization, and environmental monitoring.

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