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First carrot, then stick: how the adaptive hybridization of incentives promotes cooperation
Open accessAbstract
Social institutions often use rewards and penalties to promote cooperation. Providing incentives tends to be costly, so it is important to find effective and efficient policies for the combined use of rewards and penalties. Most studies of cooperation, however, have addressed rewarding and punishing in isolation and have focused on peer-to-peer sanctioning as opposed to institutional sanctioning. Here, we demonstrate that an institutional sanctioning policy we call ‘first carrot, then stick’ is unexpectedly successful in promoting cooperation. The policy switches the incentive from rewarding to punishing when the frequency of cooperators exceeds a threshold. We find that this policy establishes and recovers full cooperation at lower cost and under a wider range of conditions than either rewards or penalties alone, in both well-mixed and spatial populations. In particular, the spatial dynamics of cooperation make it evident how punishment acts as a ‘booster stage’ that capitalizes on and amplifies the pro-social effects of rewarding. Together, our results show that the adaptive hybridization of incentives offers the ‘best of both worlds’ by combining the effectiveness of rewarding in establishing cooperation with the effectiveness of punishing in recovering it, thereby providing a surprisingly inexpensive and widely applicable method of promoting cooperation.
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Cites
Altruistic punishment in humans
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Punishment allows the evolution of cooperation (or anything else) in sizable groups
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Social learning promotes institutions for governing the commons
Sigmund, K., De Silva, H., Traulsen, A., & Hauert, C. (2010) · Nature · doi:10.1038/nature09203 · Cited by 580
A bottom-up institutional approach to cooperative governance of risky commons
Vasconcelos, V. V., Santos, F. C., & Pacheco, J. M. (2013) · Nature Climate Change · doi:10.1038/nclimate1927 · Cited by 183
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Statistical physics of human cooperation
Perc, M., Jordan, J. J., Rand, D. G., Wang, Z., Boccaletti, S., & Szolnoki, A. (2017) · Physics Reports · doi:10.1016/j.physrep.2017.05.004 · Cited by 1,590
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Public Data Archiving in Ecology and Evolution: How Well Are We Doing?
Roche, D. G., Kruuk, L. E. B., Lanfear, R., & Binning, S. A. (2015) · PLOS Biology · doi:10.1371/journal.pbio.1002295 · Cited by 303
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Self-citationCombination of institutional incentives for cooperative governance of risky commons
Sun, W., Liu, L., Chen, X., Szolnoki, A., & Vasconcelos, V. V. (2021) · iScience · doi:10.1016/j.isci.2021.102844 · Cited by 80
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Metadata
- Authors
- Chen, X., Sasaki, T., Brännström, Å., & Dieckmann, U.
- Venue
- Journal of The Royal Society Interface
- Publisher
- The Royal Society
- Published
- 2015-01
- Volume
- 12
- Issue
- 102
- Pages
- 20140935
- ISSN
- 1742-5662 (ISSN-L)
- 1742-5689
- OpenAlex
- W2023430185
- Cited by
- 210
- References
- 8
- FWCI
- 24.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
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