2015
DOI: 10.1080/09540091.2015.1080226
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Promotion of cooperation in social dilemma games via generalised indirect reciprocity

Abstract: This paper presents a novel generalised indirect reciprocity approach for promoting cooperation in social dilemma games. Here, players decide upon an action to play in the game based on public information (or "external cues") rather than individual-specific information. The public information is constantly updated according to the underlying learning model. Comprehensive simulation experiments using the N-player Prisoner's Dilemma (PD) and Snowdrift (SD) games show that generalised indirect reciprocity promote… Show more

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Cited by 8 publications
(4 citation statements)
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“…This feature is shared by models of generalized reciprocity (Hamilton and Taborsky, 2005;Pfeiffer et al, 2005;Chiong and Kirley, 2015), where individuals make decisions based on the previous encounter with other group members. A driving force of evolution of generalized reciprocity is assortment of cooperative strategies (Rankin and Taborsky, 2009) based on contingent movement of individuals between groups (Hamilton and Taborsky, 2005), a small group size (Pfeiffer et al, 2005) (but see Barta et al (2011), where random drift helps generalized reciprocity to overcome initial disadvantage in a large group), or network structure (van Doorn and Taborsky, 2012).…”
Section: Discussionmentioning
confidence: 99%
“…This feature is shared by models of generalized reciprocity (Hamilton and Taborsky, 2005;Pfeiffer et al, 2005;Chiong and Kirley, 2015), where individuals make decisions based on the previous encounter with other group members. A driving force of evolution of generalized reciprocity is assortment of cooperative strategies (Rankin and Taborsky, 2009) based on contingent movement of individuals between groups (Hamilton and Taborsky, 2005), a small group size (Pfeiffer et al, 2005) (but see Barta et al (2011), where random drift helps generalized reciprocity to overcome initial disadvantage in a large group), or network structure (van Doorn and Taborsky, 2012).…”
Section: Discussionmentioning
confidence: 99%
“…A key innovation of this trial study, relative to past pay-it-forward research, is developing and evaluating the community-engaged approach as an additional intervention arm. While upstream reciprocity is hypothesized to promote the pay-it-forward mechanism, simulation models of the process show that the "warm glow" does not guarantee sustainability [ 44 ]. In contrast, evidence shows that when combined with network reciprocity, where acts of altruism are reinforced by a community of collaborators, the probability of cooperation increases [ 45 ].…”
Section: Methodsmentioning
confidence: 99%
“…Theoretical models predict that the direct reciprocity decision rule (Axelrod & Hamilton, 1981; Nowak, 2006; Trivers, 1971) and the generalized reciprocity decision rule (Barta et al., 2011; Boyd & Richerson, 1989; Chiang & Takahashi, 2011; Chiong & Kirley, 2015; Iwagami & Masuda, 2010; Nowak & Roch, 2007; Pfeiffer et al., 2005; Rankin & Taborsky, 2009; Stojkoski et al., 2018; van Doorn & Taborsky, 2012) can generate evolutionarily stable levels of cooperation under a wide range of conditions (reviewed in Taborsky et al., 2016, 2021). Evolutionarily stable cooperation is easier to establish if the exchange of help is concurrent; however, there is often a time delay between help given and help received, which hampers reciprocal help but does not prevent it (van Doorn et al., 2014).…”
Section: Introductionmentioning
confidence: 99%