IVIE: A Neuro-symbolic Approach to Incremental and Validated Generation of Interactive Fiction Worlds
arXiv:2606.13348v1 Announce Type: new Abstract: Computational creativity in Interactive Fiction faces a fundamental tension: Large Language Models (LLM) may produce creative narratives but struggle with world coherence, while symbolic systems ensure consistency but lack creative flexibility. We present IVIE (Incremental & Validated Interactive Experiences), a neuro-symbolic approach to generating complete and playable interactive fiction worlds from scratch. Building upon PAYADOR's neuro-symbolic framework, IVIE implements a four-stage incremental generation pipeline that delegates creative de
The proliferation of powerful LLMs has exposed their limitations in maintaining narrative coherence, leading to research into neuro-symbolic approaches to combine generative capabilities with logical consistency.
This development addresses a core challenge in generative AI, enabling the creation of more robust and coherent interactive experiences, which is crucial for advanced AI applications beyond simple text generation.
The ability to generate coherent and playable interactive fiction worlds from scratch signifies a step towards more capable and reliable AI for complex creative tasks, moving beyond pure statistical generation.
- · AI researchers
- · Creative industries (gaming, entertainment)
- · Developers of interactive AI systems
- · Developers relying solely on brute-force LLMs for complex creative tasks
- · Users frustrated with incoherent AI-generated content
Improved quality and complexity of AI-generated interactive experiences, such as games and simulations.
Accelerated development of AI agents capable of understanding and interacting within complex, consistent virtual worlds.
The potential for AI to autonomously design and populate virtual environments for training, education, or even scientific research.
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