Bitpart AI filed 1 patent this quarter in the AI & Machine Learning category.
The filing covers a multi-agent planning system designed for game development, enabling non-player characters to interact dynamically with players and each other through hierarchical task networks. This approach allows designers to author scalable NPC casts while reducing the time and complexity typically associated with content creation.
The AI & Machine Learning category contains 1 patent that transforms how game designers create interactive non-player characters. Rather than scripting fixed behaviors for individual NPCs or relying on single-character AI systems, the technology converts narrative transcripts written by humans into hierarchical task networks that can be recombined and reused across multiple characters. A runtime director then orchestrates these behaviors in real time, coordinating actions across entire groups of NPCs simultaneously based on player interactions and the evolving game state.
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.