Analysis of Logistic Map for Pseudorandom Number Generation in Game Development

arXiv:2403.00864v1 Announce Type: new
Abstract: Many popular video games use pseudorandom number generators to create randomly distributed locations for game objects as highly unpredictable as possible. Some scenarios like game competition also need reproducible randomness, namely the random results can be reproducible if given the same seed input. Existing random generation methods have limited choices for seed input. To address this limitation, this study analyzes a chaotic map called the Logistic Map for game development. After analyzing the properties of …

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