4.3 Article

Evolution of cooperation through cumulative reciprocity

期刊

NATURE COMPUTATIONAL SCIENCE
卷 2, 期 10, 页码 677-+

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SPRINGERNATURE
DOI: 10.1038/s43588-022-00334-w

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资金

  1. National Natural Science Foundation of China [71871042]
  2. Humanities and Social Science Project of the Ministry of Education of China [18YJA630118]
  3. Fulbright Visiting Scholar Program
  4. Chinese Scholarship Council
  5. European Research Council [850529: E-DIRECT]

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Reciprocity is a fundamental principle of human cooperation. Research shows that cumulative reciprocity is a more predictive strategy for human behavior and can be extended to various social dilemmas.
Reciprocity is a simple principle for cooperation that explains many of the patterns of how humans seek and receive help from each other. To capture reciprocity, traditional models often assume that individuals use simple strategies with restricted memory. These memory-1 strategies are mathematically convenient, but they miss important aspects of human reciprocity, where defections can have lasting effects. Here we instead propose a strategy of cumulative reciprocity. Cumulative reciprocators count the imbalance of cooperation across their previous interactions with their opponent. They cooperate as long as this imbalance is sufficiently small. Using analytical and computational methods, we show that this strategy can sustain cooperation in the presence of errors, that it enforces fair outcomes and that it evolves in hostile environments. Using an economic experiment, we confirm that cumulative reciprocity is more predictive of human behaviour than several classical strategies. The basic principle of cumulative reciprocity is versatile and can be extended to a range of social dilemmas.

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