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#NETLOGO NORTHWESTERN HOW TO#
#NETLOGO NORTHWESTERN FULL#
#NETLOGO NORTHWESTERN SOFTWARE#
#NETLOGO NORTHWESTERN SERIES#

Some examples in the tutorial follow the RNetLogo Cookbook from Thiele, Kurth & Grimm (2014) and its Supplementary Material.Įxperiments based on NetLogo flocking model and related measure definitions are inspired by (Stonedahl, 2011). Spartan: A Comprehensive Tool for Understanding Uncertainty in Simulations of Biological Systems. PhD Thesis, Northwestern University of IllinoisĪlden, K., Read, M., Timmis, J., Andrews, P. Genetic algorithms for the exploration of parameter spaces in agent-based models. Journal of Artificial Societies and Social Simulation, 17(3), 11. Facilitating Parameter Estimation and Sensitivity Analysis of Agent-Based Models: A Cookbook Using NetLogo and R. Center for Connected Learning and Computer Based Modeling, Northwestern University, Evanston, IL.

#NETLOGO NORTHWESTERN SOFTWARE#

īasic ideas and principles of NetLogo experiments are taken from the NetLogo’s Behavior Space (Wilensky & Shargel 2002) and BehaviorSearch software (Stonedahl 2010). Journal of Statistical Software, 58(2), 1-41. R Marries NetLogo: Introduction to the RNetLogo Package. See also Agent Based Models and RNetLogo blog from Joseph Rickert.

Nl experiment requires RNetLogo (Thiele 2014) to connect to NetLogo.

#NETLOGO NORTHWESTERN FULL#

Full factor design and LHC random sampling.Explore parameter space with categorical criteria (how to define categorical measures from temporal measures).

#NETLOGO NORTHWESTERN HOW TO#

Hyper Latin Cube Sampling examples demontrate how to explore parameter space with categorical criteria and sampling methods.

parameter space is visualized with categorical criteria.

temporal measures are aggregated in time and used to define a categorical criteria,.

Parameter sets are defined as all combination of values,.

#NETLOGO NORTHWESTERN SERIES#

It is the first in a series of parameter space exploration of the Flocking modelĬategorical Criteria example explores parameter space with full factorial design and categorical criteria:

simulation repetitions of stochastic model with predefined random seeds.

temporal measure with custom step definition (one step includes several ticks in NetLogo).

Define experiment with a data frame of parameter setsįlocking Example demonstrates temporal measure definition and visualization of temporal measures in the parameter space:.

Transform values to NetLogo model variables.

Visualize several temporal measures with 2D parameter spaceįur Patterns demonstrates explicit definition of parameter value sets with transformed parameter space.

Map parameter names to NetLogo variables.

Define parameter value sets as a combination from a list of values.

See also examples in Sensitivity Analysis for other parameter space exploring methods.Īnts example demonstrates experiment definition with full factorial design and mapping parameters to NetLogo variables. The following examples show how to define parameter value sets.

definition of “patches_after”" measure,.visualizing several agents’ position and speed in time.ĭLA (diffusion-limited aggregation) example demonstrates how to read position and other variables from NetLogo patches (after simulation run).Traffic example collects values from individual turtles per each time step: aggregate network measures ( example in construction).map turtle variables to igraph vertices,.define experiment to get data about network structure (turtles, links),.Network example collects values from turtles and their links: visualize position of agents from different groups.define and run experiment with “agents-after” measure,.Segregation example shows how to obtain data from individual NetLogo agents: define final measures (simulation run measures),.define temporal measures (step measures),.define and run experiments, export view images,.Fire Experiment example demonstrates how to: