This ABM aims to introduce a new individual decision-making model, BNE into the ABM of pedestrian evacuation to properly model individual behaviours and motions in emergency situations. Three types of behavioural models has been developed, which are Shortest Route (SR) model, Random Follow (RF) model, and BNE model, to better reproduce evacuation dynamics in a tunnel space. A series of simulation experiments were conducted to evaluate the simulating performance of the proposed ABM.

The model explores the informational causes of polarization and bi-polarization of opinions in groups. To this end it expands the model of the Argument Communication Theory of Bi-polarization. The latter is an argument-based multi-agent model of opinion dynamics inspired by Persuasive Argument Theory. The original model can account for polarization as an outcome of pure informational influence, and reproduces bi-polarization effects by postulating an additional mechanism of homophilous selection of communication partners. The expanded model adds two dimensions: argument strength and more sophisticated protocols of informational influence (argument communication and opinion update).

The simulation experiment is for studying the influence of external supervision services on combating corruption.
Algorithm: evolutionary game theory

The code and data in this repository are associated with the article titled:

Leal, Diego F. 2025. “Locating Cultural Holes Brokers in Diffusion Dynamics across Bright Symbolic Boundaries.” Sociological Methods & Research OnlineFirst https://doi.org/10.1177/00491241251322517

The NetLogo code (version 6.4.0) is designed to be a standalone piece of code although it uses the ‘nw’ and ‘matrix’ extensions that come integrated with NetLogo 6.4.0. The code was ran on a Windows 10 x 64 machine.

Diversity has become a defining feature of most Western societies, where boundaries of membership extend beyond ethnicity to encompass multiple intersecting categories, increasing the complexity of social integration. The aim of this model is to adapt the classical Schelling model of spatial segregation to this context and to identify mechanisms that may generate the hybrid segregation patterns where individuals are segregated from out-groups along one dimension while remaining integrated along others.

We extend the Schelling model using a discrete choice framework that incorporates dominant and secondary preferences among agents from two ethnic groups. Liberal agents prioritize cross-ethnic shared values over ethnicity, whereas conservative agents prioritize ethnic membership over shared values, although both retain some preference for the secondary dimension. The model is designed to explore how heterogeneous preferences and intersecting group memberships interact under different group compositions and initial distributions.

This NetLogo model simulates the impact of mowing frequency, mower type and the percentage of refuge strips on the abundance of arthropods in managed grasslands. It represents five functional arthropod groups: holometabolous plant-dwelling arthropods (HoP, represented by butterflies); holometabolous ground-dwelling arthropods (HoG, represented by ants); nesting pollinators (NP, represented by bees); hemimetabolous plant-dwelling arthropods (HeP, represented by grasshoppers); and ground-resident arthropods (GR, represented by spiders). Three mowing frequencies are simulated: intensive (four mowings per year), intermediate (two mowings per year) and extensive (one mowing per year). Bar and disc mowers differ in their effects on arthropod mortality and vegetation height. Refuge strip coverage can be set to 0%, 10% or 20%. Arthropod abundance changes over time through movement, reproduction, natural mortality, mower-related mortality and vegetation regrowth.

This model was programmed for a class project, which studied the effects of urban sprawl on bird distribution. For the urban sprawl part of the model, we started from the model in (udhira, H. S., 200

The objective of this study is to create a framework to simulate and analyze the effect of multiple business scenarios on the adoption behavior of a group of technology products.

Objective is to simulate policy interventions in an integrated demand-supply model. The underlying demand function links both sides. Diffusion proceeds if interactions distribute awareness (Epidemic effect) and rivalry reduces the market price (Probit effect). Endogeneity is given due to the fact that consumer awareness as well as their willingness-to-pay drives supply-side rivalry. Firm´s entry and exit decisions as well as quantity and price settings are driven by Cournot competition.

This model allows for analyzing the most efficient levers for enhancing the use of recycled construction materials, and the role of empirically based decision parameters.