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Math In Game Development Summit: Practical Automation: A Guide to Random Game Content Generation

Yiheng Zhou  (Senior Data Analyst, LeoCool Games)

Shuai Xu  (Senior Data Mining Engineer, LeoCool Game)

Location: Room 2001, West Hall

Date: Tuesday, March 22

Time: 5:30 pm - 6:00 pm

Pass Type: All Access Pass, Summits Pass - Get your pass now!

Topic: Programming

Format: Session

Viewing Experience: In-Person

Vault Recording: Video

Audience Level: Yes

Random generation is always a very important technology in the game industry. The typical Rogue Like game formally uses it to create extensive and profound randomness as well as the explorable depth. In this lecture, we will start from the mathematical principles of random game content generation technology, with a few simple demos, and gradually deepen, discuss and study a series of technical and game experience problems that random game content generation faces in the practical application. At the same time, we will also build another model to study how to evaluate the game experience of randomly generated game content, and use this model to optimize the program for randomly generating game content.

Takeaway

Through the speech, audience can understand the mathematical principles behind random game content generation, theprogram implementation and the evaluation criteria as well as the application prospects.

Intended Audience

Game designers and program teams who want to understand the mathematical principles behind random game content generation, the program implementation and the evaluation criteria as well as the application prospects.