Behavior In Social Dilemmas Research Articles

Temporal interaction and its role in the evolution of cooperation.

This research investigates the impact of dynamic, time-varying interactions on cooperative behavior in social dilemmas. Traditional research has focused on deterministic rules governing pairwise interactions, yet the impact of interaction frequency and synchronization in groups on cooperation remains underexplored. Addressing this gap, our work introduces two temporal interaction mechanisms to model the stochastic or periodic participation of individuals in public goods games, acknowledging real-life variances due to exogenous temporal factors and geographical time differences. We consider that the interaction state significantly influences both game payoff calculations and the strategy updating process, offering new insights into the emergence and sustainability of cooperation. Our results indicate that maximum game participation frequency is suboptimal under a stochastic interaction mechanism. Instead, an intermediate activation probability maximizes cooperation, suggesting a vital balance between interaction frequency and inactivity security. Furthermore, local synchronization of interactions within specific areas is shown to be beneficial, as time differences hinder the spread of cross-structures but promote the formation of dense cooperative clusters with smoother boundaries. We also note that stronger clustering in networks, larger group sizes, and lower noise increase cooperation. This research contributes to understanding the role of node-based temporality and probabilistic interactions in social dilemmas, offering insights into fostering cooperation.

The Impact of Praise on Cooperative Behavior in Three-Player Public Goods Games and Its Gender Differences.

Previous research has primarily focused on static factors influencing cooperative behavior in social dilemmas, with less attention given to dynamic factors within group social interactions, such as positive feedback received during interactions, i.e., praise. This study, through a between-subjects online experiment with a single-factor, two-level design (praise: public praise/no praise), investigates the impact of praise on cooperative behavior changes across two rounds of a three-player public goods problem. Results revealed the following: (1) A positive correlation between individuals' contributions across two rounds and a negative correlation with the number of correct answers in rule comprehension questions were evident; for men, a correlation between rule comprehension and first-round contributions was observed. (2) Multilevel model results showed that praise, role, and rule comprehension significantly positively affected contribution changes across two rounds; gender did not significantly affect contribution changes. Specifically, under public-praise conditions, contribution changes were greater. Publicly praised individuals showed positive or negative behavior changes, while those not praised in the same group showed positive changes. Men contributed significantly more in the first round than women, with no gender difference found in contribution changes. Rule comprehension positively predicted contribution changes, indicating that more correct answers led to greater positive changes in contributions. These results not only support the inferential social learning perspective, suggesting that through praise, individuals can infer external world perceptions and self-evaluations, affecting both the praised (positively or negatively) and positively influencing non-praised individuals in the same group, but also provide a theoretical basis and intervention strategies for team and organizational management in groups.

Cooperative emergence of spatial public goods games with reputation discount accumulation

To address issues like the tragedy of the commons, reputation mechanisms prove effective in promoting the emergence of cooperative behavior in social dilemmas. Previous research assumed that the increment of reputation is a fixed constant, however, the historical behavior of individuals with time preferences affects their reputation fluctuations on different scales. Inspired by this, we propose a framework for spatial public goods game that incorporates a reputation discount accumulation model with time preferences. In this model, players are classified as either long-sighted players or short-sighted players based on the significance of their historical behavior. Compared with short-sighted players, long-sighted players are more concerned with the impact of historical behaviors on the next game. Simulation results show that long-sighted cooperative players can resist the invasion of short-sighted defectors, and short-sighted defection strategies are eventually replaced by long-sighted cooperative strategies. This indicates that a higher discount factor facilitates the generation and maintenance of cooperation.

Effects of stubborn players and noise on the evolution of cooperation in spatial prisoner’s dilemma game

The question of whether a minority of extremists can dominate the collective behavior in social dilemmas is crucial for understanding the evolution of cooperation in both human societies and animal worlds. We establish a spatial prisoner’s dilemma game model consisting of both stubborn cooperators and stubborn defectors who never change their behavior. The results reveal that a minority of stubborn players can effectively inhibit the evolution of cooperation. By introducing noise faced by stubborn players, however, we find that the inhibition of cooperation by the stubborn players can be easily canceled by the noise, which suggests a reasonable method for undermining the detrimental effects induced by extremists.

Moral behavior in games: A review and call for additional research

The current review has been completed with several specific aims. First, it seeks to acknowledge, and detail, a new and growing body of research, that associates moral judgments with behavior in social dilemmas and economic games. Second, it seeks to address how a study of moral behavior is advantaged over past research that exclusively measured morality by asking about moral judgment or belief. In an analysis of these advantages, it is argued that additional research, that associates moral judgments with behavior, is better equipped to answer debates within the field, such as whether sacrificial judgments do reflect a concern for the greater good and if utilitarianism (or other moral theories) are better suited to solve certain collective action problems (like tragedies of the commons). To this end, future researchers should use methods that require participants to make decisions with real-world behavioral consequences.

Sex Differences Concerning Prosocial Behavior in Social Dilemmas Are (Partially) Mediated by Risk Preferences But Not Social Preferences

Abstract. Previous results on the prosociality of men and women in social dilemmas are mixed. Studies find more prosocial behavior for men and women; and a meta-analysis ( Balliet et al., 2011 ) reports an overall null effect. Including samples ( N = 1,903) from 10 countries that vary concerning gender inequality (e.g., China, Colombia, Sweden), we investigated sex differences in social dilemmas and drivers of these potential differences. We found that men behaved more prosocially, in that they transferred more of their endowment to their interaction partner. This sex difference was descriptively observed for all countries and was partially mediated by differences in risk but not social preferences. Gender inequality did not predict the difference in magnitude of sex differences between countries.

Evolution of cooperation in multi-population

Cooperative behavior is key to the survival of species in ecosystems. Here, we extend the traditional prisoner's dilemma game by proposing a multi-population model in which players can obtain a lower payoff via interactions with neighbors belonging to different populations than interactions within the same population. Then we study novel spatiotemporal dynamics of cooperation among multi-populations and find that fascinating pattern forms and spatiotemporal dynamic emerges, accompanied by the self-organization of populations. In particular, under favorable conditions, the system with fewer populations maintains cooperative behavior stability. While under adverse conditions the cycle between populations tends to collapse, leading to a lower level of cooperation. These observations highlight and explain why multi-populations greatly promote cooperative behavior in social dilemmas.

Thermodynamic susceptibility as a measure of cooperative behavior in social dilemmas.

The emergence of cooperation in the thermodynamic limit of social dilemmas is an emerging field of research. While numerical approaches (using replicator dynamics) are dime a dozen, analytical approaches are rare. A particularly useful analytical approach is to utilize a mapping between the spin-1/2 Ising model in 1D and the social dilemma game and calculate the magnetization, which is the net difference between the fraction of cooperators and defectors in a social dilemma. In this paper, we look at the susceptibility, which probes the net change in the fraction of players adopting a certain strategy, for both classical and quantum social dilemmas. The reason being, in statistical mechanics problems, the thermodynamic susceptibility as compared to magnetization is a more sensitive probe for microscopic behavior, e.g., observing small changes in a population adopting a certain strategy. In this paper, we find the thermodynamic susceptibility for reward, sucker's payoff, and temptation in classical Prisoner's Dilemma to be positive, implying that the turnover from defect to cooperate is greater than vice versa, although the Nash equilibrium for the two-player game is to defect. In the classical hawk-dove game, the thermodynamic susceptibility for resource suggests that the number of players switching to hawk from dove strategy is dominant. Entanglement in Quantum Prisoner's Dilemma has a non-trivial role in determining the behavior of thermodynamic susceptibility. At maximal entanglement, we find that sucker's payoff and temptation increase the number of players switching to defect. In the zero-temperature limit, we find that there are two second-order phase transitions in the game, marked by a divergence in the susceptibility. This behavior is similar to that seen in type-II superconductors wherein also two second-order phase transitions are seen.

Group decision-making behavior in social dilemmas: Inter-brain synchrony and the predictive role of personality traits

There are currently many studies available on individual decision-making (hereafter IDM) behavior; however, there are fewer that investigate how inter-brain social influences are substantiated in group decision-making behavior (hereafter GDM). This study examines the neural substrate of GDM and how an individual's personality affects the inter-brain synchrony of GDM in an economic social interaction situation. We used a functional near-infrared spectroscopy (fNIRS) hyperscanning system to simultaneously measure pairs of participants' inter-brain synchrony in a GDM game. The fNIRS results showed significant differences in inter-brain synchrony between IDM and GDM. Furthermore, agreeableness as a personality trait seems to be a predictive factor of inter-brain synchrony in GDM, and GDM is also influenced by the combination effect of personality and situation context. This investigation of inter-brain synchrony during group decision-making behavior improves not only our understanding of the neural substrate of group decision-making behavior and the association between personality traits and the neural network underlying GDM, but more generally contributes knowledge to the growing field of social neuroscience and neuroeconomics.

Translucent players: Explaining cooperative behavior in social dilemmas

In the past few decades, numerous experiments have shown that humans do not always behave so as to maximize their material payoff. Cooperative behavior when noncooperation is a dominant strategy (with respect to the material payoffs) is particularly puzzling. Here we propose a novel approach to explain cooperation, assuming what Halpern and Pass call translucent players. Typically, players are assumed to be opaque, in the sense that a deviation by one player in a normal-form game does not affect the strategies used by other players. However, a player may believe that if he switches from one strategy to another, the fact that he chooses to switch may be visible to the other players. For example, if he chooses to defect in Prisoner’s Dilemma, the other player may sense his guilt. We show that by assuming translucent players, we can recover many of the regularities observed in human behavior in well-studied games such as Prisoner’s Dilemma, Traveler’s Dilemma, Bertrand Competition, and the Public Goods game. The approach can also be extended to take into account a player’s concerns that his social group (or God) may observe his actions. This extension helps explain prosocial behavior in situations in which previous models of social behavior fail to make correct predictions (e.g. conflict situations and situations where there is a trade-off between equity and efficiency).

Dynamic influences on cooperation in a social dilemma: How type of experience and communication affect behavioral spillovers.

In many work and decision situations, realizing cooperation among individuals is important. However, decision making environments of individuals are far from stable, resulting in changes in task complexity and the social settings they encounter. We argue that past experiences with cooperative behavior can result in different cooperative norms and expectations about the behavior of others and will have an effect on an individual’s subsequent behavior in new situations. This study experimentally investigates these dynamics of cooperative behavior in social dilemmas and addresses the role of communication to provide empirical evidence about a cognitive mechanism that may lead to these spillovers. Specifically, the experimental design randomly assigns subjects to one type of repetitive interactions in the first social dilemma (single partner or different partners) and we then examine how this impacts the propensity to behave cooperatively in subsequent social dilemmas with unfamiliar partners (either single or different). Because of the variety in complexity of decision-making environments in practice, we do so by examining behavioral spillovers across three different social dilemmas that vary in difficulty to make cooperation successful. Our findings show that individuals cooperate more during initial interactions with a single partner. More importantly, this has positive spillover effects for subsequent behavior and communication, even to settings without repeated interactions with a single partner. However, environmental conditions affect the ability to transfer established norms of cooperation to subsequent interactions, as an initially learned cooperative norm is gradually replaced by a more competitive attitude when individuals start to interact with unfamiliar others in a setting in which cooperative success is more difficult to achieve. Our findings illustrate the power of repeated interactions for establishing and sustaining cooperation in other settings and enhance understanding of how cooperative decisions can be shaped by both incentives and the broader behavioral context of individuals.

Grand Challenges in Social Physics: In Pursuit of Moral Behavior

Methods of statistical physics have proven valuable for studying the evolution of cooperation in social dilemma games. However, recent empirical research shows that cooperative behavior in social dilemmas is only one kind of a more general class of behavior, namely moral behavior, which includes reciprocity, respecting others' property, honesty, equity, efficiency, as well as many others. Inspired by these experimental works, we here open up the path towards studying other forms of moral behavior with methods of statistical physics. We argue that this is a far-reaching direction for future research that can help us answer fundamental questions about human sociality. Why did our societies evolve as they did? What moral principles are more likely to emerge? What happens when different moral principles clash? Can we predict the break out of moral conflicts in advance and contribute to their solution? These are amongst the most important questions of our time, and methods of statistical physics could lead to new insights and contribute towards finding answers.

Leaders as role models and ‘belief managers’ in social dilemmas

We investigate the link between leadership, beliefs and pro-social behavior in social dilemmas. This link is interesting because field evidence suggests that people's behavior in domains like charitable giving, tax evasion, corporate culture and corruption is influenced by leaders (CEOs, politicians) and beliefs about others’ behavior. Our framework is a repeated experimental public goods game with and without a leader who makes a contribution to the public good before others (the followers). We find that leaders strongly shape their followers’ initial beliefs and contributions. In later rounds, followers put more weight on other followers’ past behavior than on the leader's current action. This creates a path dependency the leader can hardly correct. We discuss the implications for understanding belief effects in naturally occurring situations.

Social learning under the labeling effect: Exploring travellers’ behavior in social dilemmas

This paper presents results of a laboratory experiment, in which subjects made choices between public and private transportation when managing Personal Carbon Allowances (PCAs). The objectives of this study were twofold. Firstly, it was aimed at investigating the labeling effect under the social dilemma context. Secondly, it showed insights into the decision-making process when feedback about others’ choices was provided. A combination of the labeling effect and feedback helped individuals change their commuting pattern and increase the number of trips by public transportation under the PCAs regime. Feedback on others’ choices resulted in social learning and incentivized choice of public transportation more frequently in social dilemma situations.

Grand Challenges in Social Physics: In Pursuit of Moral Behavior

Methods of statistical physics have proven valuable for studying the evolution of cooperation in social dilemma games. However, recent empirical research shows that cooperative behavior in social dilemmas is only one kind of a more general class of behavior, namely moral behavior, which includes reciprocity, respecting others' property, honesty, equity, efficiency, as well as many others. Inspired by these experimental works, we here open up the path towards studying other forms of moral behavior with methods of statistical physics. We argue that this is a far-reaching direction for future research that can help us answer fundamental questions about human sociality. Why did our societies evolve as they did? What moral principles are more likely to emerge? What happens when different moral principles clash? Can we predict the break out of moral conflicts in advance and contribute to their solution? These are amongst the most important questions of our time, and methods of statistical physics could lead to new insights and contribute towards finding answers.

Leadership Selection and Cooperative Behavior in Social Dilemmas: An Empirical Exploration of Assigned versus Group‐Chosen Leadership

AbstractThis research explores the leadership selection process as an antecedent to group cooperation. We compare group‐chosen and assigned leaders and explore their resulting influence upon the group process and outcome in a social dilemma context. In three empirical studies, we predict and provide support for the idea that group‐chosen leaders will attend more to the social aspects of the group's interaction as opposed to the economic (bottom‐line) ones than will assigned leaders. Additionally, we found that those groups with group‐chosen leaders had more overall group cooperation (i.e., less economic self‐interest), greater trust in one another and in the leader, and had leaders who displayed more socially oriented leadership behaviors.

When is it appropriate to reprimand a norm violation? The roles of anger, behavioral consequences, violation severity, and social distance

AbstractExperiments on economic games typically fail to find positive reputational effects of using peer punishment of selfish behavior in social dilemmas. Theorists had expected positive reputational effects because of the potentially beneficial consequences that punishment may have on norm violators’ behavior. Going beyond the game-theoretic paradigm, we used vignettes to study how various social factors influence approval ratings of a peer who reprimands a violator of a group-beneficial norm. We found that ratings declined when punishers showed anger, and this effect was mediated by perceived aggressiveness. Thus the same emotions that motivate peer punishers may make them come across as aggressive, to the detriment of their reputation. However, the negative effect of showing anger disappeared when the norm violation was sufficiently severe. Ratings of punishers were also influenced by social distance, such that it is less appropriate for a stranger than a friend to reprimand a violator. In sum, peer punisher ratings were very high for a friend reprimanding a severe norm violation, but particularly poor for a stranger showing anger at a mild norm violation. We found no effect on ratings of whether the reprimand had the beneficial consequence of changing the violator’s behavior. Our findings provide insight into how peer punishers can avoid negative reputational effects. They also point to the importance of going beyond economic games when studying peer punishment.

Conflict technology in cooperation: The group size paradox revisited

This paper studies the implications of punishment‐induced conflict in a public goods game. It shows, under plausible assumptions, how larger group size sometimes enhances punishing behavior in social dilemmas and hence supports higher levels of cooperation. Unlike existing approaches that focus on uncoordinated punishment, I consider punishment as a coordinated activity that may be resisted by those being punished and study the implications of punishment‐induced conflict situations. Developing a conflict model of punishment and combining it with a standard public good game, I show that coordinated punishment can yield the concentration effect of punishment, leading to a larger group advantage; that is, the larger the group, the easier it becomes to organize cooperation. The key idea is that when punishers coordinate their punishment, punishers as a coalition successfullydividedefectors andpunisheach defector one by one. Surprisingly, even when coordination among punishers decays as group size increases, as long as the rate of decaying remains relatively slow the larger group advantage still obtains.

Evaluating the role of personality trait information in social dilemmas

We investigate whether cooperative behavior in social dilemmas is conditional on information about a partner's personality traits. Using a repeated one-shot continuous strategy Prisoner's Dilemma (two person Public Goods game), we test how information on personality traits of partners influences cooperative actions. Before each game we provide subjects with the rank-order of their partner (relative to all subjects in the session) on one of the personality traits of the Big Five Inventory. Using a within-subjects design we find that subjects are more cooperative when informed that their partner is more ‘Agreeable’ or ‘Open to Experience’. The primary reason for more cooperative behavior is the expectation that partners will give more to the public good.

Translucent Players: Explaining Cooperative Behavior in Social Dilemmas

In the last few decades, numerous experiments have shown that humans do not always behave so as to maximize their material payoff. Cooperative behavior when non-cooperation is a dominant strategy (with respect to the material payoffs) is particularly puzzling. Here we propose a novel approach to explain cooperation, assuming what Halpern and Pass call translucent players. Typically, players are assumed to be opaque, in the sense that a deviation by one player in a normal-form game does not affect the strategies used by other players. But a player may believe that if he switches from one strategy to another, the fact that he chooses to switch may be visible to the other players. For example, if he chooses to defect in Prisoner's Dilemma, the other player may sense his guilt. We show that by assuming translucent players, we can recover many of the regularities observed in human behavior in well-studied games such as Prisoner's Dilemma, Traveler's Dilemma, Bertrand Competition, and the Public Goods game.