<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Co-Ai Framework on AIBussin — AI applications, systems and books</title><link>https://aibussin.com/tags/co-ai-framework/</link><description>Recent content in Co-Ai Framework on AIBussin — AI applications, systems and books</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Wed, 04 Jun 2025 20:57:20 +0100</lastBuildDate><atom:link href="https://aibussin.com/tags/co-ai-framework/index.xml" rel="self" type="application/rss+xml"/><item><title>Programming Intelligence: Using Symbolic Rules to Steer and Evolve AI</title><link>https://aibussin.com/post/symbolic/</link><pubDate>Wed, 04 Jun 2025 20:57:20 +0100</pubDate><guid>https://aibussin.com/post/symbolic/</guid><description>&lt;h2 id="-summary"&gt;🧪 Summary&lt;/h2&gt;&#10;&lt;p&gt;&amp;ldquo;What if AI systems could learn how to improve themselves not just at the level of weights or prompts, but at the level of strategy itself? In this post, we show how to build such a system, powered by symbolic rules and reflection.&lt;/p&gt;&#10;&lt;p&gt;The paper &lt;a href="https://arxiv.org/pdf/2406.18532v1" target="_blank" class="paper-badge"&#10; style="display: inline-block; padding: 6px 10px; background: #f3f4f6; border-left: 4px solid #3b82f6; border-radius: 4px; margin: 4px 0; text-decoration: none; color: #1f2937;"&gt;&#10; &lt;strong&gt;Symbolic Agents&lt;/strong&gt;: Symbolic Learning Enables Self-Evolving Agents&#10;&lt;/a&gt; introduces a framework where &lt;strong&gt;symbolic rules&lt;/strong&gt; guide, evaluate, and evolve agent behavior.&lt;/p&gt;</description></item></channel></rss>