TL;DR
A mathematical framework incorporating degree-dependent inertia is developed, wherein the tendency to maintain one’s strategy is determined by node degree, and self-loops are permitted, and self-loops are permitted, and self-loops are permitted.
Human cooperation unfolds in social environments where individuals influence each other through payoff-based learning and social comparison, the tendency to evaluate fitness relative to others. However, it is still unclear how social comparison and population structure jointly shape cooperation. Here, we incorporate so...
In recent years, the coevolutionary dynamics between game strategies and environmental states have attracted considerable attention. Most existing relevant studies focus on well-mixed populations or regular lattices and have yet to systematically investigate strategy-environment coevolutionary dynamics on complex spati...
A structured scoping review separatesHypergraphs and simplicial complexes retain group membership explicitly, but their effects must be distinguished from nonlinearities already present in multiplayer payoff functions.
Multiplayer social dilemmas on hypergraphs show a variety of emergent phenomena, which has been attributed to group interactions. Here we test whether pairwise dynamics can reproduce them as well. We derive the mesoscopic Langevin equation of a testbed model and find the operator content of absorbing phase transitions:...
Aspiration dynamics can favor cooperation on finite graphs through a purely local satisfaction mechanism. In the model studied here, individuals compare their payoffs with adaptive aspiration levels and revise their strategies through a self-switching Fermi rule. Although the aspirations are continuous and endogenous,...
The theoretical analysis reveals that coupling a social dilemma layer to a non-dilemmatic constant-selection layer robustly enhances cooperation in many cases, across different multilayer networks, updating rules, and payoff schemes.
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