Agent-Driven, Game-Based Learning: Personalized CS Education for Diverse Students
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Agent-Driven, Game-Based Learning: Personalized CS Education for Diverse Students

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PANGeA

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.

GAME-KG

GAME-KG

Knowledge graphs (KGs) can augment large language models (LLMs) while also providing an explainable set of facts that can be inspected by a human. Explainability is valuable for fields that may otherwise avoid LLMs due to hallucinations, such as human trafficking analysis. Creating KGs poses challenges, however. KGs parsed from documents may include explicit connections (those directly stated in a document) but miss implicit connections (those evident to a human, but not directly stated). This research introduces GAME-KG, an approach to modifying explicit and implicit KG connections by crowdsourcing feedback through video games.

Dark Shadows

Dark Shadows

Dark Shadows is a film-noir style detective thriller that acts as a test bed for proof-of-concept and prototype system components, frameworks, and models that contribute to research in AI and machine learning. The gameplay focuses on social scenarios where players provide natural language input to progress the narrative. Dark Shadows includes PANGeA’s novel validation system, which leverages self-reflection to evoke a large language model's (LLM) intelligence when evaluating and responding to user input. Narrative and artwork are procedurally generated.