Meaning Machine has filed 1 patent application falling into the AI & Machine Learning category.
The filing covers technology for video game non-player characters that can improvise dialogue while maintaining consistent world lore across multiplayer sessions. The system employs semantic analysis to dynamically update narrative elements in real-time as characters interact, ensuring coherence as the game world evolves through player engagement.
The AI & Machine Learning patent addresses the challenge of maintaining narrative consistency when video game characters generate improvised dialogue across multiple concurrent game sessions. The system captures spontaneous NPC conversations and integrates them back into a central lore database using semantic vector comparison, allowing the game world's story to evolve organically without contradicting itself. This approach differs from traditional retrieval systems that only pull information on demand, instead actively updating the shared knowledge base as new narrative elements emerge. The technology manages context limitations inherent to large language models by selectively merging relevant story additions while keeping the master database coherent across all active multiplayer instances.
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