scholarly journals Common Knowledge Promotes Cooperation in the Threshold Public Goods Game by Reducing Uncertainty

2021 ◽  
Author(s):  
Paul Deutchman ◽  
Dorsa Amir ◽  
Katherine McAuliffe ◽  
Matthew Jordan

Recent work suggests that an important cognitive mechanism promoting coordination is common knowledge—a heuristic for representing recursive mental states. Yet, we know little about how common knowledge promotes coordination. We propose that common knowledge increases coordination by reducing uncertainty about others’ cooperative behavior. We examine how common knowledge increases cooperation in the context of a threshold public goods game, a public good game in which a minimum level of contribution—a threshold—is required. Across two preregistered studies (N = 4,111), we explored how varying (1) the information participants had regarding what their group members knew about the threshold and (2) the threshold level affected contributions. We found that participants were more likely to contribute to the public good when there was common knowledge of the threshold than private knowledge. Using structural equation modeling, we found that the predicted number of group members contributing to the public good and certainty about the predicted number of contributors mediated the effect of information condition on contributions. Our results suggest that common knowledge of the threshold increases public good contributions by reducing uncertainty around other people’s cooperative behavior. These findings point to the influential role of common knowledge in helping to solve large-scale cooperation problems.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Attila Szolnoki ◽  
Xiaojie Chen

AbstractThe conflict between individual and collective interests is in the heart of every social dilemmas established by evolutionary game theory. We cannot avoid these conflicts but sometimes we may choose which interaction framework to use as a battlefield. For instance some people like to be part of a larger group while other persons prefer to interact in a more personalized, individual way. Both attitudes can be formulated via appropriately chosen traditional games. In particular, the prisoner’s dilemma game is based on pair interaction while the public goods game represents multi-point interactions of group members. To reveal the possible advantage of a certain attitude we extend these models by allowing players not simply to change their strategies but also let them to vary their attitudes for a higher individual income. We show that both attitudes could be the winner at a specific parameter value. Interestingly, however, the subtle interplay between different states may result in a counterintuitive evolutionary outcome where the increase of the multiplication factor of public goods game drives the population to a fully defector state. We point out that the accompanying pattern formation can only be understood via the multipoint or multi-player interactions of different microscopic states where the vicinity of a particular state may influence the relation of two other competitors.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Kasper Otten ◽  
Vincent Buskens ◽  
Wojtek Przepiorka ◽  
Naomi Ellemers

Abstract Norms can promote human cooperation to provide public goods. Yet, the potential of norms to promote cooperation may be limited to homogeneous groups in which all members benefit equally from the public good. Individual heterogeneity in the benefits of public good provision is commonly conjectured to bring about normative disagreements that harm cooperation. However, the role of these normative disagreements remains unclear because they are rarely directly measured or manipulated. In a laboratory experiment, we first measure participants’ views on the appropriate way to contribute to a public good with heterogeneous returns. We then use this information to sort people into groups that either agree or disagree on these views, thereby manipulating group-level disagreement on normative views. Participants subsequently make several incentivized contribution decisions in a public goods game with peer punishment. We find that although there are considerable disagreements about individual contribution levels in heterogeneous groups, these disagreements do not impede cooperation. While cooperation is maintained because low contributors are punished, participants do not use punishment to impose their normative views on others. The contribution levels at which groups cooperate strongly relate to the average normative views of these groups.


2012 ◽  
Vol 15 (01n02) ◽  
pp. 1150007 ◽  
Author(s):  
TIMOTHY A. KOHLER ◽  
DENTON COCKBURN ◽  
PAUL L. HOOPER ◽  
R. KYLE BOCINSKY ◽  
ZIAD KOBTI

We present an agent-based model for voluntaristic processes allowing the emergence of leadership in small-scale societies, parameterized to apply to Pueblo societies of the northern US Southwest between AD 600 and 1300. We embed an evolutionary public-goods game in a spatial simulation of household activities in which agents, representing households, decide where to farm, hunt, and locate their residences. Leaders, through their work in monitoring group members and punishing defectors, can increase the likelihood that group members will cooperate to achieve a favorable outcome in the public-goods game. We show that under certain conditions households prefer to work in a group with a leader who receives a share of the group's productivity, rather than to work in a group with no leader. Simulation produces outcomes that match reasonably well those known for a portion of Southwest Colorado between AD 600 and 900. We suggest that for later periods a model incorporating coercion, or inter-group competition, or both, and one in which tiered hierarchies of leadership can emerge, would increase the goodness-of-fit.


1997 ◽  
Vol 11 (4) ◽  
pp. 209-215 ◽  
Author(s):  
Charles A Holt ◽  
Susan K Laury

This paper describes a simple public goods game, implemented with playing cards in a classroom setup. Students choose whether to contribute to the provision of a public good in a situation where it is privately optimal not to contribute, but socially optimal to contribute fully. This exercise motivates discussion of altruism, strategies for private fund-raising, and the role of government in resolving the public good problem.


2021 ◽  
pp. 089020702110281
Author(s):  
Erin C. R. Lawn ◽  
Kun Zhao ◽  
Simon M. Laham ◽  
Luke D. Smillie

Who is cooperative? Although Big Five (B5) Agreeableness and HEXACO Honesty-Humility are correlates of charitable prosociality, distinctions between “charity” and “cooperation” suggest that additional traits could be associated with cooperative prosociality. Echoing prior theoretical and empirical indications that B5 Openness/Intellect may play a role in cooperation, Study 1 ( N = 119; exploratory) revealed a significant correlation between Openness/Intellect and cooperativeness in the one-shot Public Goods Game that did not generalize to charitableness in the Dictator Game. We therefore conducted three preregistered replications to discern the robustness of this Openness/Intellect–cooperativeness link. As expected, Openness/Intellect showed no consistent correlation with charitable behavior. Surprisingly, the predicted correlation between Openness/Intellect and cooperative behavior was also inconsistent, partially replicating in Study 3 ( N = 304) but not Studies 2 or 4 ( Ns = 131; 552). Across our replications, cooperative behavior was most strongly correlated with Honesty-Humility (internal meta-analytic [Formula: see text] = .15, p = .005). The correlation between Openness/Intellect and cooperative behavior across our replications was significant and identical in magnitude to that between Agreeableness and cooperative behavior, though this effect-size was weak (internal meta-analytic [Formula: see text] = .08, p < .001). We therefore conclude that Openness/Intellect is a nonnull but very modest correlate of cooperativeness.


2020 ◽  
Vol 11 (1) ◽  
pp. 6-9
Author(s):  
Nobuhiro Mifune ◽  
Yang Li ◽  
Narumi Okuda

Although punishment can promote cooperative behavior, the evolution of punishment requires benefits which override the cost. One possible source of the benefit of punishing uncooperative behavior is obtaining a positive evaluation. This study compares evaluations of punishers and non-punishers. Two hundred and thirty-four undergraduate students participated in two studies. Study 1 revealed that, in the public goods game, punishers were not positively evaluated, while punishers were positively evaluated in the third-party punishment game. In Study 2, where the non-cooperator was a participant of a public goods game, we manipulated the punishers participation in the game. The results showed that punishers received no positive evaluations, regardless of their participation in the game, indicating that negative evaluation may not be a reaction toward aggression with retaliatory intentions.


2021 ◽  
Author(s):  
Anuran Pal ◽  
Supratim Sengupta

We analyze a cooperative decision-making model that is based on individual aspiration levels using the framework of a public goods game in static and dynamic networks. Sensitivity to differences in payoff and dynamic aspiration levels modulate individual satisfaction and affects subsequent behavior. The collective outcome of such strategy changes depends on the efficiency with which aspiration levels are updated. Below a threshold learning efficiency, cooperators dominate despite short-term fluctuations in strategy fractions. Categorizing players based on their satisfaction level and the resulting strategy reveal periodic cycling between the different categories. We explain the distinct dynamics in the two phases in terms of differences in the dominant cyclic transitions between different categories of cooperators and defectors. Allowing even a small fraction of nodes to restructure their connections can promote cooperation across almost the entire range of values of learning efficiency. Our work reinforces the usefulness of an internal criterion for strategy updates, together with network restructuring, in ensuring the dominance of altruistic strategies over long time-scales.Maintaining a public resource requires sustained cooperation through contributions by community members who benefit from it. Yet, a selfish individual who refuses to contribute can enjoy the benefits without paying the cost of sustaining the public good. If however, too many members of the community act selfishly, the public resource collapses to the detriment of all. The public goods game highlights such a social dilemma and provides a framework for exploring different mechanisms of strategic decision-making that allow cooperation and consequently the public good to be sustained. Among many mechanisms, the reorganization of social ties has been shown to be effective in promoting cooperation in PGG. However, the efficacy of most mechanisms in sustaining cooperation rely on individuals updating their strategy on the basis of information about the contributions of other members of the community. Often such information is either not forthcoming or cannot be effectively utilized. An alternative low-information model of behavioral updating relies on a comparison between the actual benefit received and the benefit aspired for. Individuals tend to retain their strategy if they are satisfied with the benefit received and change their strategy if they are unsatisfied. We show that such a simple reinforcement learning model along with modest restructuring of social ties over time can allow cooperation to be sustained. Our work shows that a low-information strategy-update model can be very effective in ensuring dominance of cooperators in social dilemmas.


2001 ◽  
Vol 15 (1_suppl) ◽  
pp. S37-S52 ◽  
Author(s):  
Robert Kurzban ◽  
Daniel Houser

Research using the public goods game to examine behaviour in the context of social dilemmas has repeatedly shown substantial individual differences in patterns of contributions to the public good. We present here a new method specifically designed to capture this heterogeneity in play and classify participants into broad categories or types. Players in groups of four made initial, simultaneous contributions to the public good. Subsequently, players were sequentially told the current aggregate contribution to the public good and allowed to change their decision based on this information. The game continued, with players updating their contribution decision until the game ended at an unknown point. By looking at the relationship between players' contributions and the aggregate value they observed, we were able to cleanly classify 82% of our players into three types: strong free riders (28%), conditional cooperators of reciprocators (29%), and strong cooperators (25%). We also found that scores on some of the personality dimensions we investigated (self‐monitoring, self‐esteem, neuroticism, and conscientiousness) correlated with player type. Finally, males were found to be more likely to be strong cooperators than females. Copyright © 2001 John Wiley & Sons, Ltd.


Sign in / Sign up

Export Citation Format

Share Document