You-Only-Randomize-Once: Shaping Statistical Properties in Constraint-based PCG

Autor: Katz, Jediah, Bateni, Bahar, Smith, Adam M.

Publikováno v: Proceedings of the 19th International Conference on the Foundations of Digital Games (FDG 2024). Association for Computing Machinery, New York, NY, USA, Article 16, 1-11

In procedural content generation, modeling the generation task as a constraint satisfaction problem lets us define local and global constraints on the generated output. However, a generator's perceived quality often involves statistics rather than ju

Externí odkaz: http://arxiv.org/abs/2409.00837

Addressing the Fundamental Tension of PCGML with Discriminative Learning

Autor: Karth, Isaac, Smith, Adam M.

Procedural content generation via machine learning (PCGML) is typically framed as the task of fitting a generative model to full-scale examples of a desired content distribution. This approach presents a fundamental tension: the more design effort ex

Externí odkaz: http://arxiv.org/abs/1809.04432

2,4-dichlorophenoxyacetic acid (2,4-D) and risk of non-Hodgkin lymphoma: a meta-analysis accounting for exposure levels

Autor: Smith, Adam M., Smith, Martyn T., La Merrill, Michele A., Liaw, Jane, Steinmaus, Craig

Publikováno v: In Annals of Epidemiology April 2017 27(4):281-289

3 - Knot-tying and suture-passing techniques

Autor: Zacharias, Anthony J., Smith, Adam M., Ireland, Mary Lloyd

Publikováno v: In Surgical Techniques of the Shoulder, Elbow, and Knee in Sports Medicine Edition: Third Edition. 2022:22-29

Drifting Toward Insignificance or Increased Relevance? The UN Following the Iraq War—Learning from Other Institutions

Autor: Smith, Adam M.

Publikováno v: The Fletcher Forum of World Affairs, 2004 Jul 01. 28(2), 133-145.

Externí odkaz: https://www.jstor.org/stable/45289631