Universality in game-driven random walks with strategies generated by a genetic algorithm
Abstract We investigate random walks driven by an asymmetric dual-choice game inspired by the rock-paper-scissors game. In this game, Player A selects either paper or scissors, while Player B chooses either rock or scissors. The random walk is generated by the game’s outcomes: a player advances by +...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-06-01
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| Series: | Discover Artificial Intelligence |
| Online Access: | https://doi.org/10.1007/s44163-025-00283-z |
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