UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Generating Interactive Worlds with Text

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. Green open access

[thumbnail of 1911.09194v1.pdf]
Preview
Text
1911.09194v1.pdf - Published version

Download (1MB) | Preview

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
Downloads since deposit
19Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item