ICPSR - Complex Systems Models in the Social Sciences - Lab Session 1 - Professor Daniel Martin Katz
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Transcript of ICPSR - Complex Systems Models in the Social Sciences - Lab Session 1 - Professor Daniel Martin Katz
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Introduction to Computing for Complex Systems
(Lab Session 1)
Daniel Martin KatzMichigan State University
College of Law
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Implementation: From Concept to Product
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Implementation
It is important to understand the canonical scholarship as highlighted in the lecture
However, model implementation and the mechanics of other forms of analysis is often the barrier to entry for most scholars
Implementation is the link between concept and scientific product
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Different Software Packages
Netlogo = Introductory Modeling Environment (Agent Based Models & System Dynamics)
R = Platform for Statistical Analysis (Includes the IGraph Library for Networks)
Vensim / Nova = Development of System Dynamics and Ecological Models
Pajek = Basic Software for Empirical Analysis & Visualization of Networks
Python = Object Oriented Programming Language Flexible and Fast but High Bar to Entry
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Getting Started In
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Getting Started In Netlogo
Netlogo is an Introductory Modeling Environment
Developed By Uri Wilensky @ Northwestern in 1999
Maintained by Center for Connected Learning & Computer-Based Modeling @ Northwestern
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Getting Started In Netlogo
Syntax is Inherited from the old “Logo” Language
Resnick (1991)
Wilensky (1999)
Papert & Minsky (1967)
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Getting Started In Netlogo
Features Aspects of Programming But is Not a General Language ( C++, Python, Java)
Arguably Easier To Learn Than A General Language
Serves the Implementation Needs of Many Modelers
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Getting Started In Netlogo
Agent Based Models, System Dynamics Models, Network Models, GIS, Etc.
Download @ ccl.northwestern.edu/
Should Also Acquire User Manual & Dictionary
Version 4.1, Version 4.1 3D, Version 3.1.5
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Getting Started In Netlogo
HIV / AIDS VOTING
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Where To Get Help
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Where To Get Help
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Netlogo Front Page
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Getting Started in Netlogo
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Getting Started in Netlogo
Files Have a Extension of .nlogo
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Interface
Information
Procedures
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Interface
Information
Procedures
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Edit theInformation
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Interface
Information
Procedures
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Code for the
Schelling’sSegregation
Model
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The Models Library
Explore the Available Models
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Getting Started in Netlogo
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Getting Started in Netlogo
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Getting Started in Netlogo
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Getting Started in Netlogo
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Controls
executes specific commands “on the fly”
Buttons
Command Center
“once” buttons execute one Action
“forever” buttons repeat the same action (Until Stopped)
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Settings
Sliders
Switchers
Select a value from a list
Adjust a quantity by increments
Choosers
Set a Boolean variable (true/false)
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Monitors
Plots
Offers the Current Value of Variables
Displays the Time Series Plot for a Given Variable or Variables
Views
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The Netlogo Language
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Four Types of Agents
Patches
Turtles
Links
The Observer
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Patches
Tile System with (0,0) Center Origin
pxcormin-‐pxcormax-‐pxcorworld-‐heightworld-‐width
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View the Settings
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View the Settings
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View the Settings
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View the Settings
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View the Settings
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What is a Torus?
Why is It 33 x 33?
View the Settings
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Patches: Key Things
Patches do not move -- they are fixed
Patches can breed turtles
Patches can have assigned variables
Patches belong to an agent set
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Consulting the Netlogo Dictionary
Descriptions of Patch Primitives Can Be Accessed
Through theNetlogo
Dictionary
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Turtles
Turtles move on top of the patches
Have decimal coordinates (xcor, ycor)
Have an orientation (heading)
Can have different shapes
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Turtles
Classic Hawk & Dove Model from Evolutionary Game Theory
Runs in Netlogo Version 3.1.5
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Inspect Turtles
Right Click on a Turtle (Ctrl + Click on Mac)
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Watch a Specific Turtle
Right Click on a Turtle (Ctrl + Click on Mac)
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Lots of Different Turtle Shapes
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Turtles: Key Things
Turtles move around the environment
Turtles can have various shapes
Turtles can have different variables
Turtles belong to an agent set
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Colors
color = agentspcolor = patches
Select a Major Color by Name
Customize Colors Using ## from Chart
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Exploring the Forest Fire Model
http://ccl.northwestern.edu/netlogo/models/Fire
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The Forest Fire Model
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The Forest Fire Model
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The Forest Fire Model
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The Forest Fire Model
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The Forest Fire Model
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The Forest Fire Model
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The Forest Fire Model
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The Forest Fire Model
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The Forest Fire Model
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The Forest Fire Model
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The Forest Fire Model
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The Forest Fire Model
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The Forest Fire Model
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The Forest Fire Model
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The Forest Fire Model
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The Forest Fire Model
http://ccl.northwestern.edu/netlogo/models/Fire
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The Forest Fire Model
http://ccl.northwestern.edu/netlogo/models/Fire
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The Forest Fire Model
http://ccl.northwestern.edu/netlogo/models/Fire
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The Forest Fire Model
http://ccl.northwestern.edu/netlogo/models/Fire
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The Forest Fire Model
http://ccl.northwestern.edu/netlogo/models/Fire
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The Forest Fire Model
http://ccl.northwestern.edu/netlogo/models/Fire
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http://ccl.northwestern.edu/netlogo/models/Fire
The Forest Fire Model
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Tally the Average of five model runs
For Values
50, 55, 60, 65
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The Forest Fire Model
Average2.6
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The Forest Fire Model
Average2.6
Average5.8
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The Forest Fire Model
Average2.6
Average5.8
Average66.5
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The Forest Fire Model
Average2.6
Average5.8
Average66.5
Average93.9
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Average5.8
Average66.5
Parallel Processing on Percolation Threshold
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Lets Do Some additional in Class Data Collection
On Our Fire Model
56
57
58
59
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Now LetsDiscuss
The Results
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Explore the Code
![Page 84: ICPSR - Complex Systems Models in the Social Sciences - Lab Session 1 - Professor Daniel Martin Katz](https://reader037.fdocuments.net/reader037/viewer/2022110114/547a4986b4af9f8a1f8b4ae6/html5/thumbnails/84.jpg)
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The Forest Fire Model
![Page 87: ICPSR - Complex Systems Models in the Social Sciences - Lab Session 1 - Professor Daniel Martin Katz](https://reader037.fdocuments.net/reader037/viewer/2022110114/547a4986b4af9f8a1f8b4ae6/html5/thumbnails/87.jpg)
![Page 88: ICPSR - Complex Systems Models in the Social Sciences - Lab Session 1 - Professor Daniel Martin Katz](https://reader037.fdocuments.net/reader037/viewer/2022110114/547a4986b4af9f8a1f8b4ae6/html5/thumbnails/88.jpg)
;; is for CommentsNot Active
code
![Page 89: ICPSR - Complex Systems Models in the Social Sciences - Lab Session 1 - Professor Daniel Martin Katz](https://reader037.fdocuments.net/reader037/viewer/2022110114/547a4986b4af9f8a1f8b4ae6/html5/thumbnails/89.jpg)
What is a Global?
Look it up in the dictionary
![Page 90: ICPSR - Complex Systems Models in the Social Sciences - Lab Session 1 - Professor Daniel Martin Katz](https://reader037.fdocuments.net/reader037/viewer/2022110114/547a4986b4af9f8a1f8b4ae6/html5/thumbnails/90.jpg)
What is a Global?
![Page 91: ICPSR - Complex Systems Models in the Social Sciences - Lab Session 1 - Professor Daniel Martin Katz](https://reader037.fdocuments.net/reader037/viewer/2022110114/547a4986b4af9f8a1f8b4ae6/html5/thumbnails/91.jpg)
![Page 92: ICPSR - Complex Systems Models in the Social Sciences - Lab Session 1 - Professor Daniel Martin Katz](https://reader037.fdocuments.net/reader037/viewer/2022110114/547a4986b4af9f8a1f8b4ae6/html5/thumbnails/92.jpg)
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What is a breed?
again, look it up in the dictionary
![Page 94: ICPSR - Complex Systems Models in the Social Sciences - Lab Session 1 - Professor Daniel Martin Katz](https://reader037.fdocuments.net/reader037/viewer/2022110114/547a4986b4af9f8a1f8b4ae6/html5/thumbnails/94.jpg)
What is a breed?
![Page 95: ICPSR - Complex Systems Models in the Social Sciences - Lab Session 1 - Professor Daniel Martin Katz](https://reader037.fdocuments.net/reader037/viewer/2022110114/547a4986b4af9f8a1f8b4ae6/html5/thumbnails/95.jpg)
The Forest Fire Model
![Page 96: ICPSR - Complex Systems Models in the Social Sciences - Lab Session 1 - Professor Daniel Martin Katz](https://reader037.fdocuments.net/reader037/viewer/2022110114/547a4986b4af9f8a1f8b4ae6/html5/thumbnails/96.jpg)
The Forest Fire Model