scholarly journals Cooperation in spatial public good games depends on the locality effects of game, adaptation, and punishment

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Isamu Okada ◽  
Hitoshi Yamamoto ◽  
Eizo Akiyama ◽  
Fujio Toriumi
Keyword(s):  
Public Goods ◽  
Public Good ◽  
Local Adaptation ◽  
Regular Graph ◽  
The Other ◽  
Evolution Of Cooperation ◽  
Agent Based Model ◽  
Agent Based ◽  
Public Goods Games ◽  
Public Good Games

AbstractDespite intensive studies on the evolution of cooperation in spatial public goods games, there have been few investigations into locality effects in interaction games, adaptation, and punishment. Here we analyze locality effects using an agent-based model of a regular graph. Our simulation shows that a situation containing a local game, local punishment, and global adaptation leads to the most robustly cooperative regime. Further, we show an interesting feature in local punishment. Previous studies showed that a local game and global adaptation are likely to generate cooperation. However, they did not consider punishment. We show that if local punishment is introduced in spatial public goods games, a situation satisfying either local game or local adaptation is likely to generate cooperation. We thus propose two principles. One is if interactions in games can be restricted locally, it is likely to generate cooperation independent of the interaction situations on punishment and adaptation. The other is if the games must be played globally, a cooperative regime requires both local punishment and local adaptation.

Donating money is not the only way to sustain cooperation in public goods game

2017 ◽  
Vol 28 (12) ◽  
pp. 1750149 ◽  
Author(s):  
Tong Chen ◽  
Zheng-Hong Wu ◽  
Le Wang
Keyword(s):  
Public Goods ◽  
The Other ◽  
Evolution Of Cooperation ◽  
Public Goods Game ◽  
Time Model ◽  
Research Cooperation ◽  
Public Goods Games ◽  
Cooperation Level ◽  
Set Up ◽  
Better Than

Most of the previous studies research cooperation mainly based on donating money in social public goods games. Owing to the lack of income, some people prefer to donate time instead of money to promote the activity, in our daily life. Motivated by this fact, we here investigate the influence of the encouragement of donating time on the evolution of cooperation based on village opera. In our study, we set up two models: one is money-only model (MOM). Donating money is the only choice in MOM. The other is money–time model (MTM). Besides donating money, donating time is an alternative in MTM. Through numerical simulations, we find that compared to MOM, MTM has a faster speed to reach cooperation equilibrium and cost advantage to sustain the same cooperation level, without the effects of income, reputation, satisfaction, emotion and maximum nonmonetary input. However, it should be noted that MTM is better than MOM in a moderate interval of general budget [Formula: see text]. Our results provide stark evidence that the encouragement of donating time can promote and sustain cooperation better than only donating money.

Group preferential selection promotes cooperation in spatial public goods game

2014 ◽  
Vol 25 (11) ◽  
pp. 1450062 ◽  
Author(s):  
Hong-Bin Zhang ◽  
Hong Wang
Keyword(s):  
Public Goods ◽  
Role Model ◽  
Evolution Of Cooperation ◽  
Square Lattice ◽  
Public Goods Game ◽  
Learning Mechanism ◽  
Preferential Selection ◽  
Cooperative Evolution ◽  
Public Goods Games

We study the evolution of cooperation in public goods games on the square lattice, focusing on the co-player learning mechanism based on the preferential selection that are brought about by wealthy information of groups where participants collect and search for potential imitators from those groups. We find that co-player learning mechanism based on the choice of weighted group can lead to the promotion of public cooperation by means of the information of wealthy groups that is obtained by participants, and after that the partial choice of public goods groups is enhanced with the tunable preferential parameter. Our results highlight that the learning interactions is not solely confined to the restricted connection among players, but co-players of wealthy groups have the opportunity to be as a role model in the promotion of cooperative evolution. Moreover, we also find the size of learning affects the choice of distant players, cooperators (defectors) having more paths to exploit the phalanx of opponents to survive when the value of preferential parameter is small. Besides, the extinction thresholds of cooperators and defectors for different values of noise are also investigated.

scholarly journals Avoiding or restricting defectors in public goods games?

2015 ◽  
Vol 12 (103) ◽  
pp. 20141203 ◽  
Author(s):  
The Anh Han ◽  
Luís Moniz Pereira ◽  
Tom Lenaerts
Keyword(s):  
Experimental Data ◽  
Public Goods ◽  
Public Good ◽  
Common Good ◽  
Full Agreement ◽  
Group Interactions ◽  
The Common Good ◽  
Public Goods Games ◽  
The Common ◽  
Strategic Solution

When creating a public good, strategies or mechanisms are required to handle defectors. We first show mathematically and numerically that prior agreements with posterior compensations provide a strategic solution that leads to substantial levels of cooperation in the context of public goods games, results that are corroborated by available experimental data. Notwithstanding this success, one cannot, as with other approaches, fully exclude the presence of defectors, raising the question of how they can be dealt with to avoid the demise of the common good. We show that both avoiding creation of the common good, whenever full agreement is not reached, and limiting the benefit that disagreeing defectors can acquire, using costly restriction mechanisms, are relevant choices. Nonetheless, restriction mechanisms are found the more favourable, especially in larger group interactions. Given decreasing restriction costs, introducing restraining measures to cope with public goods free-riding issues is the ultimate advantageous solution for all participants, rather than avoiding its creation.

scholarly journals Agent based models to investigate cooperation between cancer cells

2015 ◽  
Author(s):  
Joao Xavier ◽  
William Chang
Keyword(s):  
Growth Factor ◽  
Cancer Cells ◽  
Solid Tumor ◽  
Kin Selection ◽  
Evolution Of Cooperation ◽  
Emergent Properties ◽  
Agent Based Model ◽  
Agent Based ◽  
Chemical Gradients ◽  
Close Proximity

We present a type of agent-based model that uses off-lattice spheres to represent individual cells in a solid tumor. The model calculates chemical gradients and determines the dynamics of the tumor as emergent properties of the interactions between the cells. As an example, we present an investigation of cooperation among cancer cells where cooperators secrete a growth factor that is costly to synthesize. Simulations reveal that cooperation is favored when cancer cells from the same lineage stay in close proximity. The result supports the hypothesis that kin selection, a theory that explains the evolution of cooperation in animals, also applies to cancers.

scholarly journals Conditional cooperation and confusion in public-goods experiments

2016 ◽  
Vol 113 (5) ◽  
pp. 1291-1296 ◽  
Author(s):  
Maxwell N. Burton-Chellew ◽  
Claire El Mouden ◽  
Stuart A. West
Keyword(s):  
Public Goods ◽  
Behavioral Economics ◽  
Public Good ◽  
Alternative Explanation ◽  
Experimental Methods ◽  
Conditional Cooperation ◽  
Common Assumption ◽  
Economics Experiments ◽  
Cast Doubt ◽  
Public Good Games

Economic experiments are often used to study if humans altruistically value the welfare of others. A canonical result from public-good games is that humans vary in how they value the welfare of others, dividing into fair-minded conditional cooperators, who match the cooperation of others, and selfish noncooperators. However, an alternative explanation for the data are that individuals vary in their understanding of how to maximize income, with misunderstanding leading to the appearance of cooperation. We show that (i) individuals divide into the same behavioral types when playing with computers, whom they cannot be concerned with the welfare of; (ii) behavior across games with computers and humans is correlated and can be explained by variation in understanding of how to maximize income; (iii) misunderstanding correlates with higher levels of cooperation; and (iv) standard control questions do not guarantee understanding. These results cast doubt on certain experimental methods and demonstrate that a common assumption in behavioral economics experiments, that choices reveal motivations, will not necessarily hold.

Diversity of game strategies promotes the evolution of cooperation in public goods games

2010 ◽  
Vol 90 (6) ◽  
pp. 68005 ◽  
Author(s):  
Chunyan Zhang ◽  
Jianlei Zhang ◽  
Guangming Xie ◽  
Long Wang
Keyword(s):  
Public Goods ◽  
Evolution Of Cooperation ◽  
Public Goods Games

scholarly journals Branching and extinction in evolutionary public goods games

2020 ◽  
Author(s):  
Brian Johnson ◽  
Philipp M. Altrock ◽  
Gregory J. Kimmel
Keyword(s):  
Public Goods ◽  
Public Good ◽  
Population Size ◽  
Adaptive Dynamics ◽  
Small Population ◽  
Neighborhood Size ◽  
Evolutionary Branching ◽  
Final State ◽  
Evolutionary Origins ◽  
Public Goods Games

AbstractPublic goods games (PGGs) describe situations in which individuals contribute to a good at a private cost, but others can free-ride by receiving their share of the public benefit at no cost. PGGs can be nonlinear, as often observed in nature, whereby either benefit, cost, or both are nonlinear functions of the available public good (PG): at low levels of PG there can be synergy whereas at high levels, the added benefit of additional PG diminishes. PGGs can be local such that the benefits and costs are relevant only in a local neighborhood or subset of the larger population in which producers (cooperators) and free-riders (defectors) co-evolve. Cooperation and defection can be seen as two extremes of a continuous spectrum of traits. The level of public good production, and similarly, the neighborhood size can vary across individuals. To better understand how distinct strategies in the nonlinear public goods game emerge and persist, we study the adaptive dynamics of production rate and neighborhood size. We explain how an initially monomorphic population, in which individuals have the same trait values, could evolve into a dimorphic population by evolutionary branching, in which we see distinct cooperators and defectors emerge, respectively characterized by high production and low neighborhood sizes, and low production and high neighborhood sizes. We find that population size plays a crucial role in determining the final state of the population, as smaller populations may not branch, or may observe extinction of a subpopulation after branching. Our work elucidates the evolutionary origins of cooperation and defection in nonlinear local public goods games, and highlights the importance of small population size effects on the process and outcome of evolutionary branching.

scholarly journals Eco-evolutionary spatial dynamics of non-linear social dilemmas

2019 ◽  
Author(s):  
Chaitanya S. Gokhale ◽  
Hye Jin Park
Keyword(s):  
Spatial Structure ◽  
Public Goods ◽  
Public Good ◽  
Spatial Dynamics ◽  
Social Dilemmas ◽  
Evolutionary Games ◽  
Evolution Of Cooperation ◽  
Evolutionary Trajectory ◽  
The Public ◽  
Non Linear

AbstractSpatial dynamics can promote the evolution of cooperation. While dispersal processes have been studied in simple evolutionary games, real-world social dilemmas are much more complicated. The public good, in many cases, does not increase linearly as per the investment in it. When the investment is low, for example, every additional unit of the investment may help a lot to increase the public good, but the effect vanishes as the number of investments increase. Such non-linear behaviour is the norm rather than an exception in a variety of social as well as biological systems. We take into account the non-linearity in the payoffs of the public goods game as well as the natural demographic effects of population densities. Population density has also been shown to impact the evolution of co-operation. Coupling these non-linear games and population size effect together with an explicitly defined spatial structure brings us one step closer to the complexity of real eco-evolutionary spatial systems. We show how the non-linearity in payoffs, resulting in synergy or discounting of public goods can alter the effective rate of return on the cooperative investment. Synergy or discounting in public goods accumulation affects the resulting spatial structure, not just quantitatively but in some cases, drastically changing the outcomes. In cases where a linear payoff structure would lead to extinction, synergy can support the coexistence of cooperators and defectors. The combined eco-evolutionary trajectory can thus be qualitatively different in cases on non-linear social dilemmas.

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