Teaching a Computer to Play 4X: How the Annhexation AI Works
The Annhexation AI is designed to create a believable computer opponent for 4X strategy games. It separates strategy, planning, and execution into distinct layers to enhance coherence over time. The AI is still under development but aims to provide a more engaging gameplay experience by maintaining long-term goals while allowing flexible execution.
- ▪The AI operates through three layers: strategic, operational, and tactical.
- ▪It prioritizes long-term goals to avoid erratic behavior in gameplay.
- ▪The AI is not open source, but its design principles are shared through pseudocode.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 224811) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } James Randall Posted on May 30 • Originally published at jamesdrandall.com Teaching a Computer to Play 4X: How the Annhexation AI Works #gamedev #ai #architecture #gamedoc Building a believable computer opponent for a 4X strategy game is one of those problems that turns out to be bottomless. I'd use the cliche it looks simple from the outside... but I don't think thats true, I thought this would be a tough nut from the outset.
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