neural-symbolic integration
Neural-symbolic integration refers to the merging of techniques from neural networks (an approach in machine learning inspired by the human brain) and symbolic AI (an approach based on logic and reasoning) to enhance the capabilities of AI systems, allowing them to learn and reason with both numerical data and symbolic representations of knowledge.
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Related Concepts (1)
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