Dynamic and Accelerated Partial Order Planning for Interactive Narratives
| Autor: | Xun Zhang, Bhuvana Inampudi, Norman Badler, Mubbasir Kapadia |
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| Rok vydání: | 2021 |
| Zdroj: | Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 13:289-295 |
| ISSN: | 2334-0924 2326-909X |
| Popis: | This paper explores new narrative generation paradigms for open world problems. We propose a speed-up variant of partial planner–accelerated partial order planner, that can automatically generate narratives for large plan spaces. To incorporate real-time free-form user interaction, a dynamic partial planning technique has been introduced to self-repair the narratives. We also propose a scalable and robust framework to craft open world narratives with minimal effort. Our approach enables content creators to craft complex open world narratives without explicitly authoring user interaction arcs. We tested our framework by developing multiple narratives with free-form interactions. Those narratives were used to test the robustness of the proposed planners. |
| Databáze: | OpenAIRE |
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