<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Raylib on</title><link>https://just-a-bee.github.io/tags/raylib/</link><description>Recent content in Raylib on</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 23 May 2026 13:05:00 +0100</lastBuildDate><atom:link href="https://just-a-bee.github.io/tags/raylib/index.xml" rel="self" type="application/rss+xml"/><item><title>Implementing Advanced Strategy AI</title><link>https://just-a-bee.github.io/devlogs/dissertation/</link><pubDate>Sat, 23 May 2026 13:05:00 +0100</pubDate><guid>https://just-a-bee.github.io/devlogs/dissertation/</guid><description>&lt;h2 id="overview">Overview&lt;/h2>
&lt;p>For my Games Programming dissertation at the University of East London, I made a strategy game demo that features an advanced enemy AI. The goal of this project was to make multiple AI opponents in a tactics strategy game with imperfect information (fog-of-war prevents players from seeing their opponents actions). I then be conducted a playtest against human players to test the skill level of the AI opponents. This will determine which AI&amp;rsquo;s strategy is the most effective, and how effective it is.&lt;/p></description></item></channel></rss>