This NetLogo model simulates how coral reefs around the islands of Palau would develop under different emission scenarios and with selected adaptation strategies. Reef health is indicated by coral cover (%) and is affected by four major climate change impacts: increasing sea surface temperature, sea level rise, ocean acidification, and more intense typhoons. The model differentiates between inner and outer reefs, with the former naturally adapted to warmer, more acidic waters. The simulation includes bleaching events and possible recovery. In addition, the user can choose between different coral transplantation strategies as well as regulate natural thermal adaptation rates.

This model represents informal information transmission networks among medieval Genoese investors used to inform each other about cheating merchants they employed as part of long-distance trade operations.

This simulation model is associated with the journal paper “A First Approach on Modelling Staff Proactiveness in Retail Simulation Models” to appear in the Journal of Artificial Societies and Social Simulation 14 (2) 2. The authors are Peer-Olaf Siebers ([email protected]) and Uwe Aickelin ([email protected]).

Using nodes from the 2002 General Social Survey sample, the code establishes a network of ties with a given homophily bias, and simulates Internet adoption rates in that network under three conditions: (i) no network externalities, (ii) general network externalities, where an individual’s reservation price is a function of the overall adoption rate in the network, (iii) specific network externalities, where reservation price is a function of the adoption rate in individual’s personal […]

An algorithm implemented in NetLogo that can be used for searching resources.

We provide a full description of the model following the ODD protocol (Grimm et al. 2010) in the attached document. The model is developed in NetLogo 5.0 (Wilenski 1999).

A-KinGDom simulates the emergence of the social structure in a group of non-human primates. The model includes dominance and affiliative interactions which allow us to define four different attack and affiliative strategies.

The model simulates interactions in small, task focused groups that might lead to the emergence of status beliefs among group members.

The model is a representation of a liberalised electricity market designed as an energy-only market and consists of large scale investors and their power generation assets in the electricity market.

The application of a smartphone application to register physical encounters between individuals is considered by public health authorities, as a means to reduce the number of infections in the 2020 COVID-19 pandemic. The general idea is that continuous registration of all other smartphones in the vicinity of an individual’s smartphone potentially enables early warning of the owners of the other smartphones, in case the individual is tested positive as infected. Those other individuals can then go into isolation and be considered for testing. The purpose of the present simulation is to explore the potential effects of this application on frequencies of infection, isolation, and positive and negative infection test results.