Artikel

Hybrid assessment scheme based on the stern-judging rule for maintaining cooperation under indirect reciprocity

Intensive studies on indirect reciprocity have explored rational assessment rules for maintaining cooperation and several have demonstrated the effects of the stern-judging rule. Uchida and Sasaki demonstrated that the stern-judging rule is not suitable for maintaining cooperative regimes in private assessment conditions while a public assessment system has been assumed in most studies. Although both assessment systems are oversimplified and society is most accurately represented by a mixture of these systems, little analysis has been reported on their mixture. Here, we investigated how much weight on the use of information originating from a public source is needed to maintain cooperative regimes for players adopting the stern-judging rule when players get information from both public and private sources. We did this by considering a hybrid-assessment scheme in which players use both assessment systems and by using evolutionary game theory. We calculated replicator equations using the expected payoffs of three strategies: unconditional cooperation, unconditional defection, and stern-judging rule adoption. Our analysis shows that the use of the rule helps to maintain cooperation if reputation information from a unique public notice board is used with more than a threshold probability. This hybrid-assessment scheme can be applied to other rules, including the simple-standing rule and the staying rule.

Sprache
Englisch

Erschienen in
Journal: Games ; ISSN: 2073-4336 ; Volume: 11 ; Year: 2020 ; Issue: 1 ; Pages: 1-10 ; Basel: MDPI

Klassifikation
Wirtschaft
Existence and Stability Conditions of Equilibrium
Noncooperative Games
Stochastic and Dynamic Games; Evolutionary Games; Repeated Games
Thema
evolution of cooperation
evolutionary game
image score
indirect reciprocity
Kandori norm
private assessment
reputation
social dilemma

Ereignis
Geistige Schöpfung
(wer)
Okada, Isamu
Yamamoto, Hitoshi
Uchida, Satoshi
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2020

DOI
doi:10.3390/g11010013
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Okada, Isamu
  • Yamamoto, Hitoshi
  • Uchida, Satoshi
  • MDPI

Entstanden

  • 2020

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