Emergence of Cooperation in the Prisoner’s Dilemma Driven by Conformity

Author(s):  
Marco Alberto Javarone ◽  
Antonio Emanuele Atzeni ◽  
Serge Galam
2020 ◽  
Author(s):  
Ali Seyhun Saral

Conditional cooperation has been a common explanation for the observed cooperation, and its decline in social dilemma experiments. Numerous studies showed that most of the experimental subjects can be categorized into three types: conditional cooperators, self-maximizers and hump-shaped (triangle) cooperators. In this study, I investigate conditional strategy types and their role on the emergence of cooperation and their evolutionary success. For this purpose, I use an extension of the Iterated Prisoner's Dilemma Game. The agents are characterized by their initial move and their conditional responses to each level of cooperation. By using simulations, I estimate the likelihood of cooperation for different probability of continuations.I show that, when the continuation probability is sufficiently large, high levels cooperation is achieved. In this case, the most successful strategies are those who employ an all-or-none type of conditional cooperation, followed by perfect conditional cooperators. In intermediate levels of continuation probabilities, however, hump-shaped contributor types are the ones that are most likely to thrive, followed by imperfect conditional cooperators. Those agents cooperate in a medium level of cooperation within themselves and each other. The results explain the existence of hump-shaped type of cooperators with a purely payoff-based reasoning, as opposed to previous attempts to explain this strategy with psychological mechanisms.


2014 ◽  
Vol 11 (94) ◽  
pp. 20131186 ◽  
Author(s):  
Giulio Cimini ◽  
Angel Sánchez

Cooperative behaviour lies at the very basis of human societies, yet its evolutionary origin remains a key unsolved puzzle. Whereas reciprocity or conditional cooperation is one of the most prominent mechanisms proposed to explain the emergence of cooperation in social dilemmas, recent experimental findings on networked Prisoner's Dilemma games suggest that conditional cooperation also depends on the previous action of the player—namely on the ‘mood’ in which the player is currently in. Roughly, a majority of people behave as conditional cooperators if they cooperated in the past, whereas they ignore the context and free ride with high probability if they did not. However, the ultimate origin of this behaviour represents a conundrum itself. Here, we aim specifically to provide an evolutionary explanation of moody conditional cooperation (MCC). To this end, we perform an extensive analysis of different evolutionary dynamics for players' behavioural traits—ranging from standard processes used in game theory based on pay-off comparison to others that include non-economic or social factors. Our results show that only a dynamic built upon reinforcement learning is able to give rise to evolutionarily stable MCC, and at the end to reproduce the human behaviours observed in the experiments.


2008 ◽  
Vol 26 (1) ◽  
pp. 47-61
Author(s):  
Dalibor Roháč

Abstract In this paper, we discuss several issues related to public goods provision. Unlike many Austrians, we do not think that the concept of public goods - or of collective action - is an inherently flawed idea, even though we reject the alleged welfare implications of public goods theory, as proposed by orthodox public finance literature. We then argue that the structure of a generic public goods problem is more a game of chicken or an assurance game than a prisoner's dilemma and that this has important implications with regard to the plausibility of cooperative outcomes. Namely, when the public goods problem has the weakest-link structure and can be represented as an assurance game, then the cooperative outcome will be self-enforcing. In many cases, the public goods problems can be transformed into weakest-link games or different mechanisms can be found to ensure cooperation. We also discuss the difference between a public goods problem and collusion. We assert that, unlike public goods problems, collusive agreements have the structure of a prisoner's dilemma. Overall, our paper suggests that there are reasons to be optimistic about stability and efficiency of stateless societal orders.


2010 ◽  
Vol 21 (10) ◽  
pp. 1229-1236
Author(s):  
JIAN-YUE GUAN ◽  
JIN-TU SUN ◽  
YING-HAI WANG

We study a spatial evolutionary prisoner's dilemma game on regular network's one-dimensional regular ring and two-dimensional square lattice. The individuals located on the sites of networks can either cooperate with their neighbors or defect. The effects of individual's self-examination are introduced. Using Monte Carlo simulations and pair approximation method, we investigate the average density of cooperators in the stationary state for various values of payoff parameters b and the time interval Δt. The effects of the fraction p of players in the system who are using the self-examination on cooperation are also discussed. It is shown that compared with the case of no individual's self-examination, the persistence of cooperation is inhibited when the payoff parameter b is small and at certain Δt (Δt > 0) or p (p > 0), cooperation is mostly inhibited, while when b is large, the emergence of cooperation can be remarkably enhanced and mostly enhanced at Δt = 0 or p = 1.


2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Yunkyu Sohn ◽  
Jung-Kyoo Choi ◽  
T K Ahn

Abstract Dense cooperative networks are an essential element of social capital for prosperous societies. These networks enable individuals to overcome collective action dilemmas by enhancing trust. In many biological and social settings, network structures evolve endogenously as agents exit relationships and build new ones. However, the interplay between game strategy and interaction structure by which evolutionary dynamics leads to self-organization of dense cooperative networks has not been understood. Our prisoner’s dilemma experiments with exit and partner choice options show that core–periphery segregation of cooperators and defectors drives the emergence of cooperation. Cooperators’ Quit-for-Tat and defectors’ Roving strategy lead to a highly asymmetric core and periphery structure. Densely connected to each other at the core, cooperators successfully isolate defectors at the periphery and earn larger payoffs.


2008 ◽  
Vol 19 (01) ◽  
pp. 187-201 ◽  
Author(s):  
MARCELO ALVES PEREIRA ◽  
ALEXANDRE SOUTO MARTINEZ ◽  
AQUINO LAURI ESPÍNDOLA

The spatial Prisoner's Dilemma is a prototype model to show the emergence of cooperation in very competitive environments. It considers players, at sites of lattices, that can either cooperate or defect when playing the Prisoner's Dilemma with z other players. This model presents a rich phase diagram. Here we consider players in cells of one-dimensional cellular automata. Each player interacts with z other players. This geometry allows us to vary, in a simple manner, the number of neighbors ranging from one up to the lattice size, including self-interaction. This approach has multiple advantages. It is simple to implement numerically and we are able to retrieve all the results found in the previously considered lattices, with a faster convergence to stationary values. More remarkable, it permits us to keep track of the spatio-temporal evolution of each player of the automaton, giving rise to interesting patterns. These patterns allow the interpretation of cooperation/defection clusters as particles, which can be absorbed and collided among themselves. The presented approach represents a new paradigm to study the emergence and maintenance of cooperation in the spatial Prisoner's Dilemma.


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