Orchestrated Reality: From Role-Play to Living, Playable Game Worlds -- LLM-Driven World Simulation as a Parameterized-Action POMDP
arXiv:2606.16014v1 Announce Type: cross Abstract: Many games rely on storytelling combined with systems that track levelling, NPC behaviour, and consequence simulation; bridging tightly-authored narrative with deeply-simulated worlds -- most acute in sandbox and open-world settings -- has been prohibitively expensive. LLM-driven worlds open a new path: a single harness can coordinate numerical state, narrative voice, storytelling pacing, and rule logic together. Realising this requires the LLM system to sustain a persistent world (who is where, what has just happened, what is currently true),
The rapid advancements in large language models are enabling new applications previously constrained by computational and data limitations, making complex world simulations feasible.
This development indicates a significant leap in AI's ability to create persistent, dynamic, and interactive virtual environments, impacting entertainment, training, and potentially broader simulation domains.
The paradigm shifts from highly authored, static game worlds to deeply simulated, LLM-driven environments that adapt dynamically and sustain complex narratives.
- · Game developers
- · Entertainment industry
- · AI software developers
- · AI infrastructure providers
- · Traditional game engine developers
- · Studios reliant on linear narrative structures
The complexity and immersion of virtual worlds will significantly increase, enhancing user engagement and novel interactive experiences.
This technology will likely extend beyond gaming into sophisticated training simulations, digital twins, and virtual prototyping.
It could redefine digital social interaction and virtual economies by enabling highly dynamic and responsive digital entities and environments.
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Read at arXiv cs.AI