<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Design Principles on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/design-principles/</link><description>Recent content in Design Principles 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/design-principles/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></channel></rss>