  Purpose: We propose a model to present a possible mechanism for obtaining
sizeable behavioural structures by simulating an agent based on the
evolutionary public good game with available social learning. Methods: The
model considered a population with a fixed number of players. For each round,
the chosen players may contribute part of their value to a common pool. Then
each player may imitate the strategy of another player, based on relative
payoffs (whoever has the lower payoff adopts the strategy of the other player)
and change strategy using different exploratory variables. Results: Relative
payoffs are subject to incentive, including participation costs, but are also
subject to mutation, the rate of which is sensitized by network characteristics
(social ties). Values: The process covered by this study is of interest and is
relevant across a broad range of disciplines that use game theory, including
the framework of cultural evolutionary dynamics.
