Neuro-Symbolic AI: Combining Symbolic Reasoning with Neural Networks for Explainable Decision-Making in Interdisciplinary Domains
Keywords:
Neuro-Symbolic AI, Explainable AI (XAI), Symbolic Reasoning, Neural Networks, Knowledge Graphs, Hybrid AI, Interpretable Machine Learning, Knowledge Representation, Logical Inference, Interdisciplinary AI ApplicationsAbstract
Artificial Intelligence is performing well in solving some problems but is facing major challenges, as it tries to balance between the models' expressiveness and its interpretation. Despite their expertise in pattern recognition from unstructured data, neural networks remain significantly ambiguous 'black boxes.' Conversely, symbolic reasoning systems provide transparent, rule-based decision-making but struggle with data-driven adaptability. We are illustrating a framework for Neuro-Symbolic AI that describes the integration of neural networks with symbolic reasoning, so as to achieve both the powerful learning and explainable inference. We propose a bidirectional hybrid architecture comprising three layers: (1) a neural processing layer for feature extraction from unstructured data; (2) a symbolic reasoning layer encoding domain knowledge through knowledge graphs and rule-based systems; and (3) an integration layer facilitating semantic communication via differentiable programming. Through experiments on Visual Question Answering (achieving 96.4% accuracy), Natural Language Inference (88.7% accuracy), and Robotics Navigation (94.3% success rate), we demonstrate consistent improvements of 5–20% in accuracy and 2–3× gains in explainability over pure neural or symbolic baselines. This integrated framework have the capacity to deliver interpretable, robust, and generalizable AI in certain critical applications in healthcare, finance, and autonomous systems, The paper addresses scalability challenges, discusses ethical implications, and identifies future research directions including automated knowledge extraction, advanced neural-symbolic interfaces, and real-time adaptive reasoning.
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