#Netlogo random float mod

An Interface tab, anInformation tab, and a Procedures tab.1 Wilensky, U. In NetLogo there are two types of agents: the mobile agentscalled “turtles” and the stationary/background agents known as patches.Definition 2 (NetLogo Tabs) NetLogo has three tabs at the top of its window. The behavior of a class of agents isdetermined by a modeler-defined set of rules. Forthe purposes of this introduction, we will use the “Rabbits Grass Weeds” model in the Biology subfolder.Before exploring the “Rabbits Grass Weeds” model, an introduction to vocabulary and concepts associatedwith agent-based modeling and NetLogo would be helpful:Definition 1 (Agents) The individuals or organisms in the model. Go tothe File -> Models Library menu option and select a sample model in the discipline of your choice. Perhaps the bestway to become familiar with NetLogo is by investigating one of the models in its Models Library. 11 NetLogo ModelsNetLogo comes with a very nice set of built-in sample models from a variety of disciplines. Random Numbers: random random-float random-exponential random-normal random-poisson random-gamma Statistics: histogram max min mean median modes standard-deviation variance List Processing: first last butfirst butlast remove item length sum sort shuffle reverse sentence word list run Files: file-open file-close file-read file-read-line file.

NetLogois a freely available individual-based modeling environment created by Uri Wilensky at the Center forConnected Learning and Computer-Based Modeling, Northwestern University, Evanston, Illinois. Individuals move and interact withtheir environment based on a set of rules and probabilities, and are thus stochastic in nature. The interaction of predators and prey,represented by the AB terms, have a negative impact on the prey and a positive impact on the predators.This system of differential equations models the change in the size of the prey and predator populations,collectively, over time.Individual (agent) based models, however, look at population dynamics from an individual’s perspective.Rather than modeling the aggregate change to the entire population, individual based models track thebehavior and number of a collection of individuals in a population. Similarly, if no prey are present (when A(t) = 0),( )dBthe predator population will decrease exponentiallydt = −δB. when B(t) = 0), the prey population isdAassumed to experience exponential growthdt = rA. Aggregate modelsconsider a population as a collective group, and capture the change in the size of a population over time.Consider for example, the classic Lotka-Volterra predator prey equations:dAdtdBdt= rA − αAB (1)= −δB + βAB (2)where A(t) represents the size of the prey population at time t, and B(t) represents the size of the predatorpopulation at time t. Rt random 51 - 25 let dist 0.05 + random - float 0.Individual (Agent) - Based Modeling with NetLogoA Predator-Prey ExampleDifferential equations in biology are most commonly associated with aggregate models. Set temperature 0.99 * temperature + 0.01 * ( 12 + 0.1 * count heats )

#Netlogo random float mod

Ifelse ( 100 * (( pcolor / 10 ) mod 1 )) > random 100 ] if of patch - here = gray + 2.5 [ Setxy ( random 60 ) + min - pxcor max - pycorĪsk rays of patch - here = gray + 1 [ Set heading 150 + random 60 set size 1 ] ] endĪsk rays Ĭreate - rays 1 [ set heading 370 set color yellow ask patch item 0 centroid item 1 centroid [ set ID iĪsk patches with [ set random - n random - float 20 if random - n 5 and random - n 10 and random - n 15 and random - n random 50 [ Gis : set - world - envelope ( gis : envelope - of wien - grenzen ) let i 1 foreach gis : feature - list - of wien - grenzen [ feature ->Īsk patches gis : intersecting feature [ set centroid gis : location - of gis : centroid - of feature

Set wien - grenzen gis : load - dataset 'Bezirksgrenzen.shp'

Set - default - shape rays 'ray' set - default - shape IRs 'ray' set - default - shape heats 'dot' set - default - shape CO2s 'CO2-molecule' set - default - shape trees 'tree' set - default - shape industries 'industry'