Small Bots, Big Impact: Solving the Conundrum of Cooperation in Optional Prisoner's Dilemma Game through Simple Strategies
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2023
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| _version_ | 1866913217982234624 |
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| author | Sharma, Gopal Guo, Hao Shen, Chen Tanimoto, Jun |
| author_facet | Sharma, Gopal Guo, Hao Shen, Chen Tanimoto, Jun |
| contents | Cooperation plays a crucial role in both nature and human society, and the conundrum of cooperation attracts the attention from interdisciplinary research. In this study, we investigated the evolution of cooperation in optional prisoner's dilemma games by introducing simple bots. We focused on one-shot and anonymous games, where the bots could be programmed to always cooperate, always defect, never participate, or choose each action with equal probability. Our results show that cooperative bots facilitate the emergence of cooperation among ordinary players in both well-mixed populations and a regular lattice under weak imitation scenarios. Introducing loner bots has no impact on the emergence of cooperation in well-mixed populations, but it facilitates the dominance of cooperation in regular lattices under strong imitation scenarios. However, too many loner bots on a regular lattice inhibit the spread of cooperation and can eventually result in a breakdown of cooperation. Our findings emphasize the significance of bot design in promoting cooperation and offer useful insights for encouraging cooperation in real-world scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2305_15818 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Small Bots, Big Impact: Solving the Conundrum of Cooperation in Optional Prisoner's Dilemma Game through Simple Strategies Sharma, Gopal Guo, Hao Shen, Chen Tanimoto, Jun Physics and Society Cooperation plays a crucial role in both nature and human society, and the conundrum of cooperation attracts the attention from interdisciplinary research. In this study, we investigated the evolution of cooperation in optional prisoner's dilemma games by introducing simple bots. We focused on one-shot and anonymous games, where the bots could be programmed to always cooperate, always defect, never participate, or choose each action with equal probability. Our results show that cooperative bots facilitate the emergence of cooperation among ordinary players in both well-mixed populations and a regular lattice under weak imitation scenarios. Introducing loner bots has no impact on the emergence of cooperation in well-mixed populations, but it facilitates the dominance of cooperation in regular lattices under strong imitation scenarios. However, too many loner bots on a regular lattice inhibit the spread of cooperation and can eventually result in a breakdown of cooperation. Our findings emphasize the significance of bot design in promoting cooperation and offer useful insights for encouraging cooperation in real-world scenarios. |
| title | Small Bots, Big Impact: Solving the Conundrum of Cooperation in Optional Prisoner's Dilemma Game through Simple Strategies |
| topic | Physics and Society |
| url | https://arxiv.org/abs/2305.15818 |