NetLogo 2 0 2 User Manual NetLogo 2 0 2 User Manual Table of Contents What IS od Ro o 6 PAR T A vucenaac roses RR SR RD MERDA ARE RR 1 ESTO uri E RS RO NS NO RR ed 1 Copyright Information a 3 What s New2 a dalt ida 5 Version 2 0 2 August 6 2004 ococccccccccccncconononnnnnnnnnnnnnonnnonnnnnnnnnonnnnnnnnnnnnnnnnnnnnnnnnnnrnnenineness 5 Version 2 0 1 May 7 2004 ooooccocccncncnnnonnnonononnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnninen
di Stefano Cacciaguerra Intelligenza Artificiale AA 2006 2007 Netlogo NetLogo is a programmable modeling environment for simulating complex systems Modelers can give instructions to hundreds or thousands of independent agents all operating in parallel This makes it possible to explore the connection between e the micro level behavior of individuals e the macro level patterns that emerge from the interaction of many individuals http
NetLogo 3 0 User Manual NetLogo 3 0 User Manual Table of Contents What IS NETLOG Pia ii 1 ESTOS uri AA a o E ee da 1 COPyEON LIMA ION A Galea a hee 3 Third party licenses ia dead 3 What s NeW io aida 7 Version 3 0 September 14 2005D ccooooooooccccncccnonoooonnnnnnncnnnnnnnonnnnnnnnncrnnnnnnnnrnnnrrcnnnnnnnnnrnnnnnnnnnn 7 Version 2 1 December200 Aa ios 10 Versi n 2 0 2 AUgust2004 hercacooca tasar ed a a A E AREE a aa EREE oa 10 Version 2 0 December 2003F sanne
NetLogo Tutorial Notes Steven O Kimbrough April 11 2014 Steven Kimbrough kimbrough at wharton upenn edu Id NetLogo tutorial notes tex 3684 2013 09 09 20 37 28Z ii Contents ix 1 Starters 1 l l Starters 2 22222 ell ee 1 1 1 1 NetLogo world view main metaphors 1 12 The Interface Tab 2 12 1 The Observer aaa 2 122 2 1 23 Editing the View and the World
17 10 2013 Introduction to NetLogo Advanced Methods of Modelling and Simulation 2013 2014 Outline e Introduction to NetLogo e Turtles Patches and others Interface Programming Concepts Skeleton set up Some about plotting in NetLogo Extensions amp Tools e Some examples 17 10 2013 Introduction to NetLogo What is NetLogo A programmable modelling environment for simulating natural and social phenomena Uri Winlensky 1999 Agent based M am
NetLogo 2 1 0 User Manual NetLogo 2 1 0 User Manual Table of Contents What 1S AAPP RA NERD RAE E 1 ESTO ur A aa Sad GDA od 1 Copyright Information o eens 3 Wrhhat S NOW 2 oe co ia 7 Version 2 1 December 132004 Binion e a e dia 7 Version 2 0 2 August 6 2004 occccccccccccconononononnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnninnnnss 9 Version 2 0 December 102008 ua is 10 Version 1 3 1 June 200 ranma ado 10 Version 12 March 2003 iaa di
NetLogo 4 0 User Manual NetLogo 4 0 User Manual Table of Contents What nn T 1 ESTOS ui A A eee vee ed 1 Copyright INTO MALO aia 3 Third party licenses iia iia 3 MersennelWiSterFaSt coiime linnien A eae det ees 3 LISO NL A A a 4 MR s AGA DIG asada dd 4 re 6 TE E tance Ra a E OE OC Tn E ee ens 4 SAOIDIAW 2 assa as ga aus nos E alas saga Ed A oe 4 MOVIGENCOGG fic cc IR RAR NPR RR RR O UR astace os 4 JpeglmagesToMovie errar rare eae rena EEE EEE EEE
Tutorial 3 Procedures NetLogo 3 1 User Manual In Tutorial 2 you learned how to use command centers and agent monitors to inspect and modify agents and make them do things Now you re ready to learn about the real heart of a NetLogo Model the Procedures tab This tutorial leads you through the process of building a complete model built up stage by stage with every step explained along the way You ve already been exposed to the three types of agents you can give commands
Heatbugs with NetLogo Introduction Heatbugs is a modeling and simulation exercise which has become firmly established in the canon of agent based modeling and complexity science The model serves as a demonstration of self organization in a population of very simple agents who are only able to sense their immediate surroundings and to interact indirectly only with those agents in the immediate surroundings The agents in this model the heatbugs were reportedly
Tutorial Explora o do ambiente NetLogo Edit a0 j Eait 30 Beatriz Corso Magdalena beamag terra com br Credin Silva de Menezes credine minf ufes br Edilson Pantarolo edi mpb cefetpr br L via Lopes Azevedo Iivia dcpd ufmt br Indice INFO QU O span ais o o A a 3 2 Ambiente de programa o NetLLOS O assis as Rea Edo LIES OR baga EaD E da DESEN a ns ndo 3 21 Proorama o cm NGLLODO aa paia aii Aa 4 S Anstala o do ambiente NetLOSO rreren c
NetLogo Mystery Pattern Introduction Sometimes we may observe that very simple behaviors when repeated by many agents or even by a smaller number of agents acting over a long period of time can produce very rich interesting patterns In this activity we ll be building a NetLogo model that has agents with a very simple behavior At each step a turtle will perform the following steps 1 Select one of three target points these points make up the vertices of
NetLogo 5 1 0 User Manual NetLogo 5 1 0 User Manual Table of Contents What 1S nn A 1 ESTOS ui A a ass er eed 1 Copyright and License InfOrmationy oi vciescice secs ca ceensanteseiecucscantacnddncists nnmnnn nnan n nnmnnn nnmnnn nnmnnn 3 HOW 10 TETONA A eh ee Soe lake 3 ACknOWlCGOMents iia ntti availa 3 NetLogolicenSe croacia it E aos ded aadeecadevecadaceadetiandensenavestet e 3 COMMErCIalliCSSeS i dd dead 3 NetLogo User Manual liCeNSe cccccccccccccnncc
Ant Patterns with NetLogo Introduction One condition which can sometimes produce complexity is that of high throughput This throughput can be the product of a large number of agents operating simultaneously and interacting with each other a large amount of some physical material or property e g electrical charge fluid gas molecules acting in a constrained space or medium etc It can also be due to a smaller number of agents repeating simple behaviors a large number of t
Hot Topics Biological Self Organization Summer 2013 Introduction to Programming in NetLogo Anton E Weisstein Truman State University I Background on Agent Based Models An agent based model is a simulation in which individual objects or agents move about and interact with each other and their environment through specified rules The user can fine tune these rules e g by altering agents movement speed or make larger changes e g by creating new kinds of interaction
Lucidi a cura di Stefano Cacciaguerra Netlogo Tutorials ran acciaguerr Intelligenza B Artificiale AA 2006 2007 System Requirements NetLogo is designed to run almost any type of computer problems with older less powerful systems or older versions of system Software f you have any trouble with NetLogo not working on your system we would like to offer assistance Please write bugs ccl northwestern edu Intelligenza Artificiale AA 2006 200
Computing Group m NetLogo is a programmable modeling environment for simulating complex systems m Modelers can give instructions to hundreds or thousands of independent agents all operating in parallel m This makes it possible to explore the connection between the micro level behavior of individuals the macro level patterns that emerge from the interaction of many individuals You can use the list below to help familiarize yourself with the
Introduction to NetLogo Intelligent Systems Interaction and Multimedia Seminar 2012 2013 Outline Introduction to NetLogo Turtles Patches and others GUI Programming Concepts Extensions amp Tools Asimple example Introduction to NetLogo 1 What is NetLogo A programmable modelling environment for simulating natural and social phenomena Uri Winlensky 1999 Agent based M amp S tool Well suited for modelling complex systems Hundreds or thousands o
NetLogo 4 0 2 User Manual Tutorial 1 Models 4 21 09 11 28 PM If you read the Sample Model Party section you got a brief introduction to what it s like to interact with a NetLogo model This section will go into more depth about the features that are available while you re exploring the models in the Models Library Throughout all of the tutorials we ll be asking you to make predictions about what the effects of making changes to the models will be Keep in mind that the effect
Tutorial on agent based models in NetLogo by Catherine Beauchemin cbeau ryerson ca and Laura Liao Department of Physics Ryerson University Last revision June 11 2012 Abstract This tutorial will introduce the participant to designing and implementing an agent based model using NetLogo through one of two different projects modelling T cell movement within a lymph node or modelling the progress of a viral infection through an in vitro cell culture Each project is broken
NetLogo Lab 2 Modeling Interactions One of the underlying assumptions in many mathematical models in biology is that interacting systems are uniformly mixed For example in the case of modeling the growth of an organism with the logistic equation we assume that that the organism and available yeast is uniformly distributed at all times One of the benefits of working with agent based modeling is that we can drop this assumption Often interactions lead to a spatial distribution tha