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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Bibliographic Details
Published in:Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment Vol. 19; no. 1; pp. 295 - 305
Main Authors: Madkour, Abdelrahman, Martens, Chris, Holtzen, Steven, Harteveld, Casper, Marsella, Stacy
Format: Journal Article
Language:English
Published: 06.10.2023
ISSN:2326-909X, 2334-0924
Online Access:Get full text
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