Electronic Arts filed 1 patent this quarter in the AI & Machine Learning category.
The filing covers a system that uses artificial intelligence to dynamically assign characters to locations and tasks in multi-character video games. This technology addresses real-time coordination scenarios by optimizing how characters are matched to different objectives throughout gameplay.
Electronic Arts filed a single AI & Machine Learning patent focused on solving a complex coordination problem in multi-character games. The system uses a ring-based assignment algorithm to match multiple characters with multiple targets or goals simultaneously, rather than handling each character's pathfinding independently. This approach avoids the computational expense of testing every possible combination, which becomes impractical as the number of characters and objectives increases. The algorithm evaluates the entire coordination scenario holistically, enabling real-time optimization of which characters should pursue which locations or tasks across the game world.
All data sourced from USPTO patent filings. Google Patents may take several weeks to index recent publications. If a link is unavailable, search for the patent number at USPTO Patent Public Search.