<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Problem Solving on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/problem-solving/</link><description>Recent content in Problem Solving 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/problem-solving/index.xml" rel="self" type="application/rss+xml"/><item><title>Means–ends analysis</title><link>https://terms-en.ai-term-hub.com/en/terms/meansends_analysis/</link><pubDate>Sat, 18 Jul 2026 10:06:58 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/meansends_analysis/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Means-ends analysis is a cognitive strategy used in artificial intelligence and psychology to solve complex problems. It involves comparing the current state of a problem to the desired goal state, identifying the differences between them, and then selecting operators or actions that reduce those specific differences. If a direct action is not possible, the method breaks the problem down into smaller subgoals. This recursive decomposition allows agents to navigate large state spaces efficiently by focusing on immediate obstacles to progress toward the final objective.&lt;/p></description></item></channel></rss>