In this article, we study the asymptotic behavior of deterministic, continuous-time imitation
dynamics for population games over networks. The basic assumption of this learning …

Game dynamics have been widely used as learning and computational tool to find
evolutionarily stable strategies. Nevertheless, most of the existing evolutionary game …

In anticoordination social contexts such as stock selection, resource allocation, and crowd
dispersion, an individual earns more if the opponents adopt her opposite strategy. Based on …

Imitation is widely observed in nature and often used to model populations of decision-
making agents, but it is not yet known under what conditions a network of imitators will reach …

In both economic and evolutionary theories of games, two general classes of evolution can
be identified: 1) dynamics based on myopic optimization and 2) dynamics based on …

Motivated by theoretical and experimental economics, we propose novel evolutionary
dynamics for games on networks, called the h-Relative Best Response (h-RBR) dynamics …

Decision-making individuals are often likely to imitate their highest-earning fellows rather
than optimizing their own utilities, due to bounded rationality and incomplete information on …

Decision-making individuals are typically either an imitator, who mimics the action of the
most successful individual (s), a conformist (or coordinating individual), who chooses an …

Myxobolus cerebralis is the parasite causing whirling disease, which has dramatic
ecological impacts due to its potential to cause high mortality in salmonids. The large-scale …

Perpetual fluctuations between decisions are reported as the dominant asymptotic outcome
of imitative behaviours, yet little attempt has been made to characterize them, particularly in …