The study explores the effectiveness of AoNK and ADCO strategies in repeated games. It highlights the weaknesses of AoNK strategies with larger memory lengths and introduces the innovative ADCO strategy. By rigorously deriving payoffs and simulating interactions, the study demonstrates how ADCO outperforms classic strategies, enhancing cooperation levels significantly.
The research delves into evolutionary dynamics, showcasing how intermediate cooperation thresholds are optimal for AoNK strategies. It reveals that using more history information can improve decision-making efficiency. The proposed ADCO strategy combines key properties of AoNK with tolerance to achieve high levels of mutual reciprocity and resist exploitation by defectors.
Through replicator dynamics and full population simulations, the study illustrates how ADCO dominates over classic memory-1 strategies in various competition scenarios. The results emphasize the importance of integrating complex strategic structures beyond traditional memory-based strategies to enhance cooperative behaviors.
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