Probabilistic Logic Programming Semantics For Procedural Content Generation
Research in procedural content generation (PCG) has recently heralded two major methodologies: machine learning (PCGML) and declarative programming. The former shows promise by automating the specification of quality criteria through latent patterns in data, while the latter offers significant advan...
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| Published in: | Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment Vol. 19; no. 1; pp. 295 - 305 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
06.10.2023
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| ISSN: | 2326-909X, 2334-0924 |
| Online Access: | Get full text |
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