<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Swarm on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/swarm/</link><description>Recent content in Swarm 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/swarm/index.xml" rel="self" type="application/rss+xml"/><item><title>Emergent algorithm</title><link>https://terms-en.ai-term-hub.com/en/terms/emergent_algorithm/</link><pubDate>Sat, 18 Jul 2026 09:56:53 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/emergent_algorithm/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Emergent algorithms refer to complex global behaviors or patterns that arise from the local interactions of many simple agents or rules within a system. Unlike traditional top-down programming where every step is explicitly defined, these systems rely on bottom-up dynamics. This concept is central to swarm intelligence, cellular automata, and neural networks, where the collective output is often more sophisticated than the sum of its individual parts, allowing for adaptive and robust problem-solving in dynamic environments.&lt;/p></description></item></channel></rss>