Researchers have developed a framework called "Orchestrated Reality" to enable large language models (LLMs) to create persistent, simulated game worlds. This system treats the game world as a canonical object managed by a central orchestration agent, analogous to a Game Master (GM) in tabletop role-playing games. The framework formalizes LLM-driven game worlds as a Parameterized-Action POMDP, where state is represented by JSON entities and transitions are managed by an LLM-driven Plan-Diff-Validate-Apply (PDVA) pipeline. AI
IMPACT Enables LLMs to create persistent, simulated game worlds by formalizing game state and transitions.
RANK_REASON The cluster contains an academic paper describing a new framework for LLM-driven world simulation.
Read on arXiv cs.MA (Multiagent) →
- arXiv
- Game Master (GM)
- JSON
- Orchestrated Reality
- Parameterized-Action POMDP
- Plan-Diff-Validate-Apply (PDVA)
- Hugging Face
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