<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agent Architecture on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/agent-architecture/</link><description>Recent content in Agent Architecture 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/agent-architecture/index.xml" rel="self" type="application/rss+xml"/><item><title>Belief–desire–intention model</title><link>https://terms-en.ai-term-hub.com/en/terms/beliefdesireintention_model/</link><pubDate>Sat, 18 Jul 2026 09:48:06 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/beliefdesireintention_model/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>The Belief-Desire-Intention (BDI) model is a cognitive architecture for designing autonomous agents that make rational decisions. Beliefs represent the agent&amp;rsquo;s knowledge about the world, desires are its goals, and intentions are the specific plans committed to achieving those goals. This model helps create agents that can dynamically adapt to changing environments by updating their beliefs, refining their desires, and revising their intentions. It is foundational in multi-agent systems and intelligent automation.&lt;/p></description></item><item><title>Planning</title><link>https://terms-en.ai-term-hub.com/en/terms/planning/</link><pubDate>Sat, 18 Jul 2026 09:41:54 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/planning/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Planning in AI involves determining a sequence of actions that will lead from an initial state to a desired goal state. It requires reasoning about the effects of actions and the constraints of the environment. Classical planning uses symbolic representations, while modern approaches may integrate reinforcement learning or large language models to handle complex, dynamic, or partially observable environments, enabling autonomous agents to make strategic decisions.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>The cognitive process of generating a sequence of actions to achieve specific goals within a defined environment.&lt;/p></description></item></channel></rss>