![]() ![]() The framework is named ABOOMS (Agent-Based Object-Oriented Modelling and Simulation). It utilizes software engineering methods to provide a structured approach to identify agent interactions, and design simulation architecture and agent behaviour. The framework uses the Unified Modelling Language (UML) as a standard specification language, and includes a simulation development lifecycle, a step-by-step development guideline, and a short guide for modelling agent behaviour with statecharts. We construct a development framework with incorporated software engineering techniques, then tailored it to ABMS of PGG. ![]() This thesis aims to leverage the potential of ABMS of PGG, focusing on the development methodology of ABMS and the modelling of agent behaviour. We believe that this has contributed to ABMS of PGG not having been used to its full potential. However, there is a lack of guidelines regarding the detailed development process and the modelling of agent behaviour for agent-based models of PGGs. ![]() Research findings from these laboratory studies have inspired studies using computational agents and vice versa. Social scientists can conduct laboratory experiments of PGGs to study human behaviours in strategic situations. In the PGG, participants secretly choose how many of their private money units to put into a public pot. One of the popular strategic situations is the Public Goods Game (PGG). In Economics, ABMS has been used to model many strategic situations. Because ABMS offers a methodology to create an artificial society in which actors with their behaviour can be designed and results of their interaction can be observed, it has gained attention in social sciences such as Economics, Ecology, Social Psychology, and Sociology. The interaction of the individual behaviours of the agents results in the global behaviour of the system. In Agent-based Modelling and Simulation (ABMS), a system is modelled as a collection of agents, which are autonomous decision-making units with diverse characteristics. ![]()
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