Modeling aggression in realistic populations: The multiplayer Hawk-Dove game on evolving networks

Igor Erovenko



Date: Wednesday, October 7, 2020
Time: 4:00 pm - 5:00 pm
Location: Virtual

Abstract: We model a mobile population of Hawks and Doves interacting over a network. Individuals choose strategically to either stay at the current location or move to a neighboring location depending on their inherent staying propensity trait and the composition of the group at the current location. The Hawk–Dove game interactions involve all individuals at the same location and may feature groups of arbitrary size. We investigate the effects of network topology, movement cost, population size, and reward-to-cost ratio on the evolution of the population. We find that unlike in the public goods game, stability is rare, and Doves tend to do better than Hawks for low movement costs on complete and circle graphs but for high movement costs on the star graph. The threshold of the reward-to-cost ratio after which Hawks dominate Doves is lowest for the star graph and highest for the circle graph. This is a continuation of our ongoing investigation of multiplayer interactions on evolving networks, which features a novel model of the multiplayer Hawk–Dove game in a mobile structured population.

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