English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Evolution of cooperation through cumulative reciprocity

Li, J., Zhao, X., Li, B., Rossetti, C. S. L., Hilbe, C., & Xia, H. (2022). Evolution of cooperation through cumulative reciprocity. Nature Computational Science, 2, 677-686. doi:10.1038/s43588-022-00334-w.

Item is

Files

show Files
hide Files
:
s43588-022-00334-w.pdf (Publisher version), 2MB
 
File Permalink:
-
Name:
s43588-022-00334-w.pdf
Description:
-
OA-Status:
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Li, Juan, Author
Zhao, Xiaowei, Author
Li, Bing, Author
Rossetti, Charlotte S. L.1, 2, Author           
Hilbe, Christian2, Author           
Xia, Haoxiang, Author
Affiliations:
1IMPRS for Evolutionary Biology, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445639              
2Max Planck Research Group Dynamics of Social Behavior (Hilbe), Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_3164873              

Content

show
hide
Free keywords: -
 Abstract: 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.

Details

show
hide
Language(s): eng - English
 Dates: 2021-10-062022-09-142022-10-20
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s43588-022-00334-w
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Nature Computational Science
  Abbreviation : Nat Comput Sci
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: London, UK : Nature Research
Pages: - Volume / Issue: 2 Sequence Number: - Start / End Page: 677 - 686 Identifier: ISSN: 2662-8457
CoNE: https://pure.mpg.de/cone/journals/resource/2662-8457