<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Reasoning on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/reasoning/</link><description>Recent content in Reasoning on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 20 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/reasoning/index.xml" rel="self" type="application/rss+xml"/><item><title>The Art of Reasoning: Problem-Solving and Decision-Making</title><link>https://ai-blog.noorshomelab.dev/agentic-ai-guide-2026/agent-reasoning-mechanisms/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/agentic-ai-guide-2026/agent-reasoning-mechanisms/</guid><description>&lt;h2 id="introduction-to-agentic-reasoning"&gt;Introduction to Agentic Reasoning&lt;/h2&gt;
&lt;p&gt;Welcome back, aspiring agent architects! In our previous chapters, we laid the groundwork for understanding what autonomous AI agents are and why they&amp;rsquo;re poised to revolutionize how we interact with technology. We explored their core components and the overarching vision. Now, it&amp;rsquo;s time to delve into the very &amp;ldquo;brain&amp;rdquo; of an agent: its ability to reason, solve problems, and make intelligent decisions.&lt;/p&gt;
&lt;p&gt;This chapter is all about understanding the sophisticated mechanisms that allow an agent to go beyond simple instruction following. We&amp;rsquo;ll uncover how agents break down complex goals, strategically plan their actions, and adapt to unforeseen challenges. You&amp;rsquo;ll learn about foundational reasoning patterns like ReAct and how agents can even reflect on their own performance to improve. This isn&amp;rsquo;t just theory; we&amp;rsquo;ll provide practical insights and code snippets to illustrate these concepts, empowering you to build agents that truly think!&lt;/p&gt;</description></item><item><title>Agentic AI Systems: A Comprehensive Guide</title><link>https://ai-blog.noorshomelab.dev/guides/agentic-ai-systems-guide/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/guides/agentic-ai-systems-guide/</guid><description>&lt;p&gt;Welcome to this comprehensive guide on Agentic AI Systems! This learning path is designed to take you from understanding the fundamental concepts of autonomous AI agents to building and deploying your own intelligent systems. We’ll break down complex ideas into manageable steps, ensuring you gain a solid, practical understanding.&lt;/p&gt;
&lt;h3 id="what-are-agentic-ai-systems"&gt;What are Agentic AI Systems?&lt;/h3&gt;
&lt;p&gt;At its core, an Agentic AI System refers to an artificial intelligence entity that can perceive its environment, understand a given goal, plan a series of actions, execute those actions (often by using external tools), reason about outcomes, and learn from experience to achieve its objectives autonomously. Think of it as giving an AI the ability to not just answer questions, but to actively &lt;em&gt;do things&lt;/em&gt; in the world to solve problems, much like a human expert might.&lt;/p&gt;</description></item></channel></rss>