<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Adaptive AI on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/adaptive-ai/</link><description>Recent content in Adaptive AI 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/adaptive-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Situated approach</title><link>https://terms-en.ai-term-hub.com/en/terms/situated_approach/</link><pubDate>Sat, 18 Jul 2026 10:15:35 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/situated_approach/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>The situated approach is a methodological framework in AI research that argues intelligent behavior cannot be separated from the environment in which it occurs. It advocates for building systems that react directly to environmental stimuli rather than relying solely on internal symbolic representations. This approach is foundational in behavior-based robotics and situated computing, focusing on simplicity, robustness, and adaptability. By grounding intelligence in physical or digital contexts, it aims to create systems that are more resilient to uncertainty and better suited for dynamic, unpredictable real-world tasks.&lt;/p></description></item><item><title>Continual Learning</title><link>https://terms-en.ai-term-hub.com/en/terms/continual_learning/</link><pubDate>Sat, 18 Jul 2026 09:51:47 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/continual_learning/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Continual learning, also known as lifelong learning, enables neural networks to acquire new skills or information over time while retaining previously learned capabilities. This addresses the &amp;lsquo;catastrophic forgetting&amp;rsquo; problem, where updating a model on new data degrades performance on old tasks. It is essential for creating adaptive AI systems that operate in dynamic environments, mimicking human cognitive flexibility by integrating new experiences into existing knowledge bases.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>A machine learning paradigm where models learn sequentially from new data without forgetting previous knowledge.&lt;/p></description></item></channel></rss>