In this work, we use a simple multi-agent-based-model (MABM) of a social network,
implementing selfish algorithm (SA) agents, to create an adaptive environment and show …

The study of cooperation within social dilemmas has long been a fundamental topic across
various disciplines, including computer science and social science. Recent advancements …

Individuals often engage in complex, non-isolated interactive environments. The
interdependence manifested by strategic interaction environments across multiple …

The synergy and discounting effects were initially proposed to characterize how the benefit
nonlinearly accumulates in social dilemmas, however, these effects do not always act …

In the real world, individuals are often involved in collaboration on multiple issues, and these
issues may interact with each other. Given the complexity of the interaction, we establish a …

The emergence of collective cooperation in competitive environments is a well-known
phenomenon in biology, economics, and social systems. While most evolutionary game …

The influence of reputation and emotions on the evolution of cooperation is acknowledged,
but current research predominantly focuses on one aspect. This paper integrates both …

Cooperation among competitive populations hinges on trustworthy information usually
obtained through personal experiences (private information) and social influence (public …

Greater knowledge is always an advantage for a rational individual. However, this article
shows that for a group of rational individuals greater knowledge can backfire, leading to a …

Synergy between evolutionary dynamics of cooperation and fluctuating state of shared
resource being consumed by the cooperators is essential for averting the tragedy of the …