Comparing PCG metrics with Human Evaluation in Minecraft Settlement Generation
Author:
Affiliation:
1. University Hertfordshire, United Kingdom
2. University of Hertfordshire, United Kingdom
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3472538.3472590
Reference42 articles.
1. [n.d.]. MCEdit. https://github.com/mcedit/mcedit [n.d.]. MCEdit. https://github.com/mcedit/mcedit
2. Micah Allen Davide Poggiali Kirstie Whitaker Tom Rhys Marshall and Rogier A Kievit. 2019. Raincloud plots: a multi-platform tool for robust data visualization. Wellcome open research 4(2019). Micah Allen Davide Poggiali Kirstie Whitaker Tom Rhys Marshall and Rogier A Kievit. 2019. Raincloud plots: a multi-platform tool for robust data visualization. Wellcome open research 4(2019).
3. Patterns and procedural content generation
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1. Terrain-adaptive PCGML in Minecraft;2024 IEEE Conference on Games (CoG);2024-08-05
2. Believable Minecraft Settlements by Means of Decentralised Iterative Planning;2023 IEEE Conference on Games (CoG);2023-08-21
3. The Right Variety: Improving Expressive Range Analysis with Metric Selection Methods;Proceedings of the 18th International Conference on the Foundations of Digital Games;2023-04-12
4. Compressing and Comparing the Generative Spaces of Procedural Content Generators;2022 IEEE Conference on Games (CoG);2022-08-21
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