Cooperation is a fundamental aspect of well-organized societies and public good games are\na useful metaphor for modeling cooperative behavior in the presence of strong incentives to free ride.\nUsually, social agents interact to play a public good game through network structures. Here, we use\nsocial network structures and computational agent rules inspired by recent experimental work\nin order to develop models of agent behavior playing public goods games. The results of our\nnumerical simulations based on a couple of simple models show that agents behave in a manner\nqualitatively similar to what has been observed experimentally. Computational models such as\nthose presented here are very useful to interpret observed behavior and to enhance computationally\nthe limited variation that is possible in the experimental domain. By assuming a priori reasonable\nindividual behaviors, the easiness of running simulations could also facilitate exploration prior to\nany experimental work in order to vary and estimate a number of key parameters that would be very\ndifficult, if not impossible, to change during the actual experiment.
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