Computational Model Library

(PLEASE DO NOT DOWNLOAD. This simulation is not user-friendly. UI has been removed for faster experimentation. An interactive version will be uploaded when the paper is accepted.)

Simulations of Public Goods Games (PPGs) are usually in discrete time (one shot decisions about contributions to public goods). To our knowledge, this is the first simulation of continuous-time PGGs (where participants can change contributions at any time) which are much harder to realise within both laboratory and simulation environments. The simulation is for a journal article submitted to JASSS (in review): “Tuong Manh Vu (2018). Overcoming the Hurdles of Continuous-Time Public Goods Games with A Simulation-Based Approach.”

The paper shows how to apply our recently developed ABOOMS (Agent-Based Object-Oriented Modelling and Simulation) framework to create simulation-supported continuous-time PGG studies. The ABOOMS framework utilizes Software Engineering techniques to support the development at macro level (considering the overall study lifecycle) and at micro level (considering individual steps related to simulation model development). The case study shows that outputs from the simulation-supported continuous-time PGG generate dynamics generate dynamics that do not exist in discrete-time setting, highlighting the fact that it is important to study both, discrete and continuous-time PGGs.

Dynamic bipartite network model of agents and games in which agents can participate in multiple public goods games.

Cultural group selection model of agents playing public good games and who are able to punish and punish back.

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