<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hybrid on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/hybrid/</link><description>Recent content in Hybrid on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/hybrid/index.xml" rel="self" type="application/rss+xml"/><item><title>Neuro-symbolic AI</title><link>https://terms-en.ai-term-hub.com/en/terms/neuro_symbolic_ai/</link><pubDate>Sat, 18 Jul 2026 10:08:54 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/neuro_symbolic_ai/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Neuro-symbolic AI integrates sub-symbolic neural learning methods with symbolic logic-based reasoning systems. This hybrid approach aims to overcome the limitations of pure deep learning, such as lack of interpretability and poor generalization from few examples, by incorporating explicit knowledge structures. It enables systems to learn from data while maintaining logical consistency and providing explainable decisions through rule-based inference.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>An AI approach combining neural networks&amp;rsquo; learning capabilities with symbolic reasoning&amp;rsquo;s logic and transparency.&lt;/p></description></item><item><title>Connectionist expert system</title><link>https://terms-en.ai-term-hub.com/en/terms/connectionist_expert_system/</link><pubDate>Sat, 18 Jul 2026 09:51:40 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/connectionist_expert_system/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>A connectionist expert system integrates the pattern recognition and learning strengths of neural networks (connectionism) with the explicit knowledge representation and logical reasoning of traditional rule-based expert systems. This hybrid approach aims to overcome the brittleness of symbolic systems and the lack of interpretability in pure neural networks. By linking sub-symbolic connections to symbolic concepts, these systems can learn from data while maintaining a level of transparency and logical consistency required for expert decision-making tasks.&lt;/p></description></item></channel></rss>