Project for the course “Introduction to Agent-Based Modeling”.

The NetLogo model implements an Opinion Dynamics model with different confidence distributions, inspired by the Bounded Confidence model presented by Hegselmann and Krause in 2002. Hegselmann and Krause used a model with uniform distribution of confidence, but one could imagine agents that are more confident in their own opinions than others. Confidence with triangular, semi-circular, and Gaussian distributions are implemented. Moreover, network structure is optional and can be taken into account in the agent’s confidence such that agents assign less confidence the further away from them other agents are.

(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.

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An ABM, derived from a case study and a series of surveys with greenhouse growers in the Westland, Netherlands. Experiments using this model showshow that the greenhouse horticulture industry displays diversity, adaptive complexity and an uneven distribution, which all suggest that the industry is an evolving system.

This is an implementation of an agent based model for the evolution of ethnocentrism. While based off a model published by Hammond and Axelrod (2006), the code has been modified to allow for a more fine-grained analysis of evolutionary dynamics.