Citation:
Klinkert, Lawrence J., Steph Buongiorno, and Corey Clark. 2024. “Evaluating the Efficacy of LLMs to Emulate Realistic Human Personalities”. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 20 (1):65-75. https://doi.org/10.1609/aiide.v20i1.31867.
PANGeA
PANGeA is a system that uses large language models (LLMs) to create narrative content for turn-based RPGs based on game designers' high-level criteria. It introduces a novel validation system for handling free-form text input during development and gameplay, employing "self-reflection" techniques, enabling small/local LLMs to perform comparably to foundational models. It enriches player-NPC interactions by generating personality-biased non-playable characters (NPCs). It improves AI accuracy through crowdsourcing mechanics. PANGeA houses a server with a custom memory system that provides context for LLM generation. The server's REST interface enables integration with any game engine.