Main content

Home

Menu

Loading wiki pages...

View
Wiki Version:
This is the code repository for the following paper: Macanovic, A., Tsvetkova, M., Przepiorka, W., and Buskens, V. 2023. Signals of Belonging: Emergence of Signalling Norms as Facilitators of Trust and Parochial Cooperation. *Philosophical Transactions of the Royal Society B.* (forthcoming), doi: 10.1098/rstb.2023. The repository includes NetLogo code of simulations used reported on in the main and supplementary results. This repository includes the following files: - RSTB_2023_0029_ABM_main.nlogo : main simulations, with results both in main text and main results in the supplement (sections S4.2-S4.5) - RSTB_2023_0029_ABM_nosig.nlogo : simulations without the possibility of signalling norm evolution (results in section S4.1) - RSTB_2023_0029_ABM_signalling_start.nlogo : simulations initiated in a signalling equilibrium/full signalling state (results in Section S4.6) - RSTB_2023_0029_ABM_four_truster_types.nlogo : simulations with a possibility of discrimination against signalling outgroup/trusting otherwise (see sections S2.2. and S4.7) - RSTB_2023_0029_ABM_noise.nlogo : simulations with noise in trustee capability of recognizing the truster identity correctly (see sections S2.3 and S4.8) - RSTB_2023_0029_ABM_robchecks.nlogo : robustness checks (results in Section S4.9) See the "Info" tab upon opening the files in NetLogo for more information about each parameter. In case of questions, you can reach out to Ana Macanovic at a.macanovic[at]uu.nl . This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License.
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.