Abstract
Indirect reciprocity enables cooperation in social dilemmas. It is a reputation-based mechanism in which interactions between individuals are observed, judged and cooperation is then steered to individuals considered good but withheld from those considered bad. Research has focussed on how to avoid disagreement over who is good or bad, since such disagreement can severe problems. But only two models exist to predict such disagreement, and both are limited to highly unrealistic cases. These models assume either an observation probability close to zero or full observation at all times. The former model predicts that agreement only exists by chance, i.e. that it is as small as theoretically possible. We studied intermediate observation rates and provide two major insights. First, for all but the smallest observation rates, agreement is higher than chance, in particular for relevant indirect reciprocity strategies. Second, we introduce a new model to predict reputation and agreement that can accommodate any observation rate. This enables more realistic studies of indirect reciprocity and, in turn, a deeper understanding and practical application of this mechanism, often regarded as a foundation of human morality, in reputation-based multi-agent systems and other real-world settings.
| Original language | English |
|---|---|
| Article number | 116868 |
| Number of pages | 13 |
| Journal | Applied Mathematical Modelling |
| Volume | 157 |
| Early online date | 14 Mar 2026 |
| DOIs | |
| Publication status | E-pub ahead of print - 14 Mar 2026 |
Bibliographical note
Publisher Copyright:© 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Fingerprint
Dive into the research topics of 'We both think you did wrong - How agreement shapes and is shaped by indirect reciprocity'. Together they form a unique fingerprint.Projects
- 1 Active
-
EPSRC standard grant "Evolutionary Game Theory Under Uncertainty"
Han, T. A. (PI)
29/04/24 → 28/04/27
Project: Research
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver