Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/102525
Title: | Open-ended evolution for Minecraft building generation |
Authors: | Barthet, Matthew Liapis, Antonios Yannakakis, Georgios N. |
Keywords: | Minecraft (Game) Deep learning (Machine learning) Computational intelligence User interfaces (Computer systems) |
Issue Date: | 2022 |
Publisher: | Institute of Electrical and Electronics Engineers |
Citation: | Barthet, M., Liapis, A., Yannakakis, G. N. (2022). Open-ended evolution for Minecraft building generation. IEEE Transactions on Games, 10.1109/TG.2022.3189426 |
Abstract: | This paper proposes a procedural content generator which evolves Minecraft buildings according to an open-ended and intrinsic definition of novelty. To realize this goal we evaluate individuals’ novelty in the latent space using a 3D autoencoder, and alternate between phases of exploration and transformation. During exploration the system evolves multiple populations of CPPNs through CPPN-NEAT and constrained novelty search in the latent space (defined by the current autoencoder). We apply a set of repair and constraint functions to ensure candidates adhere to basic structural rules and constraints during evolution. During transformation, we reshape the boundaries of the latent space to identify new interesting areas of the solution space by retraining the autoencoder with novel content. In this study we evaluate five different approaches for training the autoencoder during transformation and its impact on populations’ quality and diversity during evolution. Our results show that by retraining the autoencoder we can achieve better open-ended complexity compared to a static model, which is further improved when retraining using larger datasets of individuals with diverse complexities. |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/102525 |
Appears in Collections: | Scholarly Works - InsDG |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Open-Ended_Evolution_for_Minecraft_Building_Generation-2022.pdf Restricted Access | 9.06 MB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.