Fan, A;
Urbanek, J;
Ringshia, P;
Dinan, E;
Qian, E;
Karamcheti, S;
Prabhumoye, S;
... Weston, J; + view all
(2020)
Generating Interactive Worlds with Text.
Proceedings of the AAAI Conference on Artificial Intelligence
, 34
(2)
pp. 1693-1700.
10.1609/aaai.v34i02.5532.
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Abstract
Procedurally generating cohesive and interesting game environments is challenging and time-consuming. In order for the relationships between the game elements to be natural, common-sense has to be encoded into arrangement of the elements. In this work, we investigate a machine learning approach for world creation using content from the multi-player text adventure game environment LIGHT (Urbanek et al. 2019). We introduce neural network based models to compositionally arrange locations, characters, and objects into a coherent whole. In addition to creating worlds based on existing elements, our models can generate new game content. Humans can also leverage our models to interactively aid in worldbuilding. We show that the game environments created with our approach are cohesive, diverse, and preferred by human evaluators compared to other machine learning based world construction algorithms.
| Type: | Article |
|---|---|
| Title: | Generating Interactive Worlds with Text |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1609/aaai.v34i02.5532 |
| Publisher version: | https://doi.org/10.1609/aaai.v34i02.5532 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10086497 |
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