Many recent studies have used reinforcement learning methods to investigate the behavior
of agents in evolutionary games. Q-learning, in particular, has become a mainstream …

The conflicts in human societies have often been studied through evolutionary games. In
social dilemmas, for example, individuals fair best if they defect, but the society is best off if …

The application of incentives, such as reward and punishment, is a frequently applied way
for promoting cooperation among interacting individuals in structured populations. However …

Both conventional wisdom and empirical evidence suggest that arranging a prior
commitment or agreement before an interaction takes place enhances the chance of …

Institutions and investors are constantly faced with the challenge of appropriately distributing
endowments. No budget is limitless and optimising overall spending without sacrificing …

Prosocial incentives are recognized as effective tools to promote public cooperation. But
their usage is costly, hence we need to find an optimal policy that offers the best outcome for …

Institutions and investors face the constant challenge of making accurate decisions and
predictions regarding how best they should distribute their endowments. The problem of …

Punishment is a key incentive to maintain cooperation. But it is costly, hence its effectiveness
is under permanent debate. To overcome this difficulty, we here introduce a sampling …

Human behavioral decision-making influences the gaming environment. In turn, changes in
the gaming environmental impact individual strategic choices. However, there is scant …

Studies to date on the role of social exclusion in public cooperation have mainly focused on
the peer or pool sanctioning types of excluding free-riders from the share of common goods …