Individuals’ stable characters correspond to role-identities combined with personal traits, or to self-sentiments in informal situations like a party.
An interactant’s goodness, dominance, and activation constitutes the person’s stable character that he or she tries to maintain in social interaction. Interactants are selected randomly from a normal distribution centered on specified values of goodness, dominance, and activation.
In this program dimensions of Evaluation, Potency, and Activity (EPA) are translated to goodness, dominance, and activation when talking about people, an individual’s fundamental EPA profile is called stable character, and the deflection construct is called tension. The terminology and symbols used in the GroupSimulator program depart somewhat from standard usages in affect control theory. The Credits and References section below gives information on affect control theory. Additionally the program provides many controls for defining and analyzing groups in different ways. The program has three kinds of displays: a pictorial view showing interactants’ facial expressions graphs where group variables are plotted and a text box for displaying information regarding actions and individuals. GroupSimulator uses affect control theory to generate interpersonal behaviors, and to track emotions and tensions in multi-agent human groups ranging in size from three to 25 interactants. More extensive documentation is provided at: WHAT IS IT? This applet version does not provide all of the functions mentioned below, but all are available in the downloaded version.īasic documentation concerning the program is given below. The model runs on your computer within NetLogo, a multi-agent modeling program available without charge at.
Netlogo round free#
Designed by Web Page Templates Design provided by Free Website Templates.The GroupSimulator program and documentation were created by David R.
Netlogo round software#
See also our simulation software tools overview webpage.Ĭopyright © 2011-2012 Jan C. It is the other way round and available on R-Forge and CRAN. If you don't need to connect to an Rserve server but want to use R from within NetLogo have a look on our NetLogo-R-Extension, which provides some more functions and uses rJava/JRI instead of TCP/IP network connections.įurthermore, an R package to connect NetLogo from within R (named RNetLogo) is also ready to use. Note, that you will need to connect to a running Rserve server. See the documentation inside rserve/doc for further instructions. Now, you shoud see an rserve folder inside the extensions folder.
Netlogo round zip file#
no interactive R shell).ĭownload the zip file for your NetLogo version, unzip the file inside your extensions directory of your NetLogo installation. It is very easy to setup but has, compared to the NetLogo-R-Extension less functionalities (e.g. The Rserve server can run on your local machine or on a different machine also connected via TCP/IP. There are primitives to create R-Variables with values from NetLogo variables or agents and others to evaluate commands in R with and without return values. The NetLogo- Rserve-Extension provides primitives to use the statistical software GNU R via the Rserve package (based on TCP/IP connection) within a NetLogo model. NetLogo-Rserve-Extension NetLogo- Rserve-Extension