User:Prmurthy98a8/Procedural generation/Bibliography
You will be compiling your bibliography and creating an outline of the changes you will make in this sandbox.
![]() | Bibliography
As you gather the sources for your Wikipedia contribution, think about the following:
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Bibliography
Edit this section to compile the bibliography for your Wikipedia assignment. Add the name and/or notes about what each source covers, then use the "Cite" button to generate the citation for that source.
Farrokhi Maleki, M., & Zhao, R. (2024).
Procedural content generation in games: A survey with insights on emerging LLM integration. arXiv preprint arXiv:2410.15644v1. Retrieved from https://arxiv.org/abs/2410.15644v1[1]
- This source is reliable because it is authored by established researchers in the field and is hosted on arXiv, a respected repository widely used by the academic community for disseminating high-quality, cutting-edge research.
Zakaria, Y., Fayek, M., & Hadhoud, M. (2023).
Procedural level generation for Sokoban via deep learning: An experimental study. IEEE Transactions on Games, 15(1), 108–120. Retrieved from https://doi.org/10.1109/TG.2022.3175795[2]
- This source is reliable because it is published in IEEE Transactions on Games, a peer-reviewed journal known for its rigorous review process and its contribution to the field of game research.
Poyck, G. (2023).
Procedural city generation with combined architectures for real-time visualization (Master’s thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/3982[3]
- This source is reliable because it is a Master’s thesis from Clemson University, accessible through TigerPrints—Clemson’s official digital repository—which ensures adherence to high academic research standards and thorough methodological rigor.
![]() | Examples:
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References
- ^ Maleki, Mahdi Farrokhi; Zhao, Richard (2024-10-21), Procedural Content Generation in Games: A Survey with Insights on Emerging LLM Integration, arXiv, doi:10.48550/arXiv.2410.15644, arXiv:2410.15644, retrieved 2025-03-01
- ^ Zakaria, Yahia; Fayek, Magda; Hadhoud, Mayada (2023-03). "Procedural Level Generation for Sokoban via Deep Learning: An Experimental Study". IEEE Transactions on Games. 15 (1): 108–120. doi:10.1109/TG.2022.3175795. ISSN 2475-1510.
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(help) - ^ Poyck, Griffin (2023-05-01). "Procedural City Generation with Combined Architectures for Real-time Visualization". All Theses.
Outline of proposed changes
Click on the edit button to draft your outline.
![]() | Now that you have compiled a bibliography, it's time to plan out how you'll improve your assigned article.
In this section, write up a concise outline of how the sources you've identified will add relevant information to your chosen article. Be sure to discuss what content gap your additions tackle and how these additions will improve the article's quality. Consider other changes you'll make to the article, including possible deletions of irrelevant, outdated, or incorrect information, restructuring of the article to improve its readability or any other change you plan on making. This is your chance to really think about how your proposed additions will improve your chosen article and to vet your sources even further. Note: This is not a draft. This is an outline/plan where you can think about how the sources you've identified will fill in a content gap. |