<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI History on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/ai-history/</link><description>Recent content in AI History 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/ai-history/index.xml" rel="self" type="application/rss+xml"/><item><title>Knowledge-based systems</title><link>https://terms-en.ai-term-hub.com/en/terms/knowledge_based_systems/</link><pubDate>Sat, 18 Jul 2026 10:04:10 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/knowledge_based_systems/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Knowledge-based systems (KBS) are a branch of artificial intelligence that incorporates specific domain knowledge into a computer system to perform tasks that typically require human expertise. They consist of two main components: a knowledge base containing facts and rules, and an inference engine that applies logical reasoning to derive new information or solutions. Unlike traditional software, KBS can explain their reasoning process, making them valuable in fields like medicine, engineering, and finance where transparency and expert-level decision-making are critical.&lt;/p></description></item></channel></rss>