<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>History of AI on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/history-of-ai/</link><description>Recent content in History of 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/history-of-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>POP-11</title><link>https://terms-en.ai-term-hub.com/en/terms/pop_11/</link><pubDate>Sat, 18 Jul 2026 10:10:06 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/pop_11/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>POP-11 (Program Oriented Problem Solving) is a multi-paradigm programming language that combines procedural, object-oriented, and logic programming features. It was created in the 1970s and became a standard tool in AI laboratories, particularly for teaching AI concepts and developing expert systems. Its integrated environment supports rapid prototyping of intelligent agents and symbolic reasoning systems. Although less common today, it played a significant role in the history of AI education and research, influencing later languages like Prolog and Lisp dialects.&lt;/p></description></item><item><title>AI effect</title><link>https://terms-en.ai-term-hub.com/en/terms/ai_effect/</link><pubDate>Sat, 18 Jul 2026 09:44:10 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/ai_effect/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>The AI effect describes the shifting boundary of what constitutes &amp;lsquo;artificial intelligence.&amp;rsquo; As algorithms become more sophisticated and capable of performing specific tasks, those tasks are often reclassified as mere computation or automation rather than true intelligence. This psychological and sociological shift means that success in AI often leads to the devaluation of the achievement, pushing the definition of intelligence further away from current capabilities. It highlights the dynamic nature of human expectations regarding machine cognition.&lt;/p></description></item></channel></rss>