#Netlogo behavior space software
#Netlogo behavior space series

What you can do is creating a global variable as a list: at each tick the list is emptied, and later all turtles (sorted as per sort) will append their value to the list. However you cannot directly do of sort turtles, because of expects an agent/agentset but you are giving it a list. In the case of turtles, they are sorted by their who which means that their relative order will always be the same. Using sort on an agentset creates a list of those agents sorting them by some criteria. Is it posstible to create a reporter in Behaviourspace that reports the values of the agentvariable1 in a sequence that remains the same every tick? Because of this the data that is exported is not usable to create a time-series. The values that are reported for agentvariable1 are randomly shuffled, because “turtles” calls all turtles in a random order, which is different every tick. However, when I measure runs using the following reporter

#Netlogo behavior space series

I want to report a time series for the values of this variable for every agent using Behaviourspace. I’m working on an agent based model where a variable (agentvariable1) owned by all agents changes every tick. In summary, the nlrx package uses a similar structure as NetLogos Behavior Space but offers more flexibility and additional tools for running reproducible complex model analyses directly from R.Question: Picture of my behaviourspace menu By storing all relevant information on simulation experiments, including the output of the model simulations in one class object, experiments can be easily stored and shared.

#Netlogo behavior space software

nlrx provides useful helper functions to generate parameter input matrices from parameter range definitions that cover a wide range of parameter exploration approaches. Basic ideas and principles of NetLogo experiments are taken from the NetLogos Behavior Space (Wilensky & Shargel 2002) and BehaviorSearch software (Stonedahl. The nlrx package utilizes the commandline functionality of Behavior Space to execute NetLogo simulations directly from R. These class objects hold all the information that is needed to run these experiments remotely from R, such as path to NetLogo installation folder, path to the model file and the experiment specifications itself. Instead of defining experiments within NetLogo Behavior Space, experiments are defined in R using the class objects of the nlrx package. The nlrx package utilizes the commandline functionality of Behavior Space to execute NetLogo simulations directly from R. However, in many cases it is useful to store such specifications along with the model output and analyses results in order to enable fully reproducible model analyses. Furthermore, Behavior Space experiment specifications are stored within the NetLogo file and are not easily accessible from R. One limitation of Behavior Space is, that it only supports full-factorial parameter designs, which may not be appropriate for complex model analyses. This experiment tool can be executed via command line in combination with an XML file that contains the experiment specifications, such as runtime, variables, output measurements, stop conditions, and more. NetLogo comes with the built-in experiment tool Behavior Space that allows to setup and execute model simulations with different settings and parameter variations and to collect model output. The state space (the floor surface) in the NetLogo is managed by the agent. More details on NetLogo itself are available online: NetLogo online documentation We can use the simulation system to study the behavior of students, teachers. NetLogo is developed and maintained at the Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL. NetLogo focusses on implementation of agent-based and spatially explicit simulation models, although system dynamics models are supported as well. NetLogo is a free, open-source and cross-platform modelling environment for simulating natural and social phenomena. Click on the Info Tab to read about the simulation. Some of the models only produce graphical results, so do not choose one of them. Choose a simulation that has numerical output. The nlrx package provides tools to setup and execute NetLogo simulations from R. From File menu, choose Models Library and open several of the simulations to see what looks interesting.