| Model's name |
Description |
| Agent Animation |
This NetLogo model performs a simple animation of various turtle agent shapes to give the impression that they are flowing past the observer.
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| ANZ Continental Drift |
This NetLogo model shifts New Zealand back towards Australia in order to illustrate the process of continental drift. In effect, the model is running time backwards in order to show where New Zealand was in relation to Australia millions of years ago.
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| Being Kevin Bacon |
This NetLogo model implements various algorithms related to communication amongst agents in a network such as Dijkstra's algorithm, and communication via word-of-mouth or using blackboards. It also demonstrates some important concepts such as the small world phenomenon, degrees of separation, and super-nodes in peer to peer networks.
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| Cars Guessing Game |
This NetLogo model plays a simple game trying to guess the colour of cars as they drive past. Its purpose is to show how entropy and code length calculations are made given a probability distribution.
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| Central Park Events |
This NetLogo model visualises a sequence of events that are necessary for going from the Zoo to the Boat Pond in Central Park, New York.
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| Chatbot |
This NetLogo model implements two basic chatbots - Liza and Harry - using regular expressions.
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| Chevening House Maze |
This NetLogo model draws a schematic representation of the Chevening House garden maze.
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| Chevening House Maze with Coloured Islands |
This NetLogo model colours the islands in the Chevening House garden maze.
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| Chevening House Maze with Wall Following |
This NetLogo model gets a turtle to wander around the Chevening House maze using wall following behaviour.
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| Colour Cylinder |
This NetLogo model demonstrates how colour can be represented in 3 dimensions: hue, saturation and brightness.
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| Communication T-T Example 2 |
This NetLogo model simulates the spreading of a message between agents. This is a modification of the Communication T-T Example model in NetLogo's Models Library: Code Examples > Communication T-T Example.
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| Crowd Path Following |
This NetLogo model is an attempt to recreate boids (see Craig Reynold's work) that use the crowd path following steering behaviour.
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| Empty Maze |
This NetLogo model draws an empty maze with no inside walls.
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| Empty Maze with Wall Following |
This NetLogo model gets a turtle to wander around the empty maze using wall following behaviour.
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| Entropy Calculator |
This NetLogo model allows the user to calculate the entropy for a specific probability distribution.
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| Firebreak |
This NetLogo model is an extension of the Fire model that allows users to add firebreaks, extra forest and ignition points. An satellite or aerial image can also be imported into the environment.
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| Flocking with Obstacles |
This NetLogo model is an attempt to mimic the flocking of birds. It recreates boids (see Craig Reynold's work) that use various steering behaviours. This is a modification of the Flocking model in NetLogo Model's Library: Code Examples > Flocking Example.
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| Follow and Avoid |
This NetLogo model is an attempt to recreate boids (see Craig Reynold's work) that use seeking and fleeing steering behaviours.
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| Follow Trail |
This NetLogo model allows the user to test out various trail following behaviours for ants. It is an extension of the Santa Fe Trail model.
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| Foxes and Rabbits |
This NetLogo model creates 100 foxes and 1000 rabbits.
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| Foxes and Rabbits 2 |
This NetLogo model creates foxes and rabbits. Once created, the rabbits move away from the foxes if they are too near.
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| Hampton Court Maze |
This NetLogo model draws a schematic representation of the Hampton Court Palace garden maze.
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| Hampton Court Maze with Turtle |
This NetLogo model gets a turtle to wander through the beginning of the Hampton Court maze as created by the Hampton Court NetLogo model.
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| Hampton Court Maze with Wall Following |
This NetLogo model gets a turtle to wander around the Hampton Court maze using wall following behaviour.
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| Hill Climbing Example 2 |
This NetLogo model show how to give turtle agents a sense of what's up and what's down to perform hill climbing. This is a modification of the Hill Climbing model in NetLogo Model's Library: Code Examples > Hill Climbing Example.
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| Hill Climbing with Wall Following |
This NetLogo model implements turtle agents that can use a sense of what's up or down to perform hill climbing, or use a sense of touch via proximity detection to perform wall following, or can do both.
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| Knowledge Representation |
This NetLogo model visualises the knowledge and reasoning processes for three toy problems using different methods for knowledge representation.
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| Language Modelling |
This NetLogo model shows how a language model can be constructed from some training text. Its purpose is to show various important features of language models and to visualise them using NetLogo link and turtle agents.
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| Life Cycle Stages |
This NetLogo model shows an example of a finite state automata (FSA) that represents the life cycle stages of people throughout their lives.
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| Life Example |
This NetLogo model shows how to use some simple commands in NetLogo to simulate the life cycle of people.
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| Line of Sight Example 2 |
This NetLogo model shows how to provide turtles with a rudimentary sense of vision based on simulating a line of sight. This is a modification of the Line of Sight Example model in NetLogo Model's Library: Code Examples > Line of Sight Example.
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| Load File |
This NetLogo model shows how to load text from a file.
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| Look Ahead Example 2 |
This NetLogo model shows how to provide turtles with a rudimentary sense analogous to the sense of vision. This is a modification of the Look Ahead Example model in NetLogo Model's Library: Code Examples > Look Ahead Example.
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| Manhattan Distance |
This NetLogo model illustrates the concept of Manhattan distance, and compares it to Euclidean distance.
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| Map and Image Annotator |
Users can annotate maps and images using this NetLogo model.
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| Map Drawing |
Users can create their own maps using this NetLogo model.
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| Mazes |
This NetLogo model shows how to get a simple reactive turtle agent to move around a maze.
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| Mazes-2 |
This extends the Mazes model by adding the Butterfly Maze, and two further behaviours based on those from the Searching Mazes model.
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| Missionaries and Cannibals |
This NetLogo model applies standard search algorithms to the classic search problem called Missionaries and Cannibals.
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| N Dimensional Space |
This NetLogo model visualises N dimensional data concerning New Zealand All Blacks.
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| Nested Squares |
This NetLogo model shows how to draw squares six different ways.
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| Nested Triangles |
This NetLogo model shows how to use simple turtle drawing commands to draw some patterns made out of triangles.
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| NZ Birds |
This NetLogo model constructs and animates a decision tree for the problem of identifying New Zealand birds.
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| Obstacle Avoidance 1 |
This NetLogo model is an attempt to recreate boids (see Craig Reynold's work) that employs basic obstacle avoidance steering behaviour.
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| Obstacle Avoidance 2 |
This NetLogo model is an attempt to recreate boids (see Craig Reynold's work) that employs basic obstacle avoidance steering behaviour.
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| Santa Fe Trail |
This NetLogo model tests out various behaviours as solutions to the Santa Fe Ant Trail problem. The Santa Fe Ant
Trail was devised by John Koza in order to test the performance of evolutionary algorithms.
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| Searching for Kevin Bacon |
This NetLogo model applies standard search algorithms to the problem of searching for a specific goal node in a network.
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| Searching for Kevin Bacon 2 |
This NetLogo model is an extension to the Searching for Kevin Bacon model that provides an Output that allows the user to trace how the search proceeds.
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| Searching Mazes |
This NetLogo model applies standard search algorithms to the problem of searching mazes.
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| Shannon Guessing Game |
This NetLogo model shows how a language model can be constructed from some training text and then used to predict text - i.e. play the "Shannon Guessing Game", a game where the agent (human or computer) tries to predict upcoming text, one letter at a time, based on the prior text it has already seen.
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| Shuffle Cards |
This NetLogo model shows how you can create a pack of cards using turtle shapes and then shuffle them using the shuffle command.
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| Shuffle and Deal Cards |
This NetLogo model is an extension of the Shuffle Cards model that allows you to deal the cards as well.
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| Simple Walk |
This NetLogo model gets a turtle to execute some simple walking commands.
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| State Machine Example 2 |
This NetLogo model adds a function and plot to estimate and graph the self-organisation of the termites for the State Machine Example model in NetLogo Model's Library: Code Examples > State Machine Example.
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| Stick Figure Animation |
Users of this model can create their own stick figure animations and save them as QuickTime movie files.
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| Stick Figure Walking |
This NetLogo model provides a simple animation of a stick figure walking.
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| Sudoku Builder |
This NetLogo model allows the user to fill in a Sudoku puzzle.
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| Two States |
This NetLogo model shows how to draw a simple two-state Finite State Automata (FSA) that represents turning a light switch off or on.
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| Vacuum Cleaner Robot |
This NetLogo model simulates a vacuum cleaner robot whose task is to clean the floor of a room.
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| Vision Cone Example 2 |
This NetLogo model shows how to provide turtles with a rudimentary sense of vision. This is a modification of the Vision Cone Example model in NetLogo Model's Library: Code Examples > Vision Cone Example.
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| Wall Following Events |
This NetLogo model visualises a small set of events that an agent can follow in order to perform a modified type of wall following behaviour where sensing, thinking and acting are all done concurrently in no particular order (see the Wall Following Example 2 model for further exaplanation).
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| Wall Following Example 2 |
This NetLogo model shows how to provide turtles with an ability to follow walls. This is a modification of the Wall Following Example model in NetLogo Model's Library: Code Examples > Wall Following Example. The purpose is to show how to implement a "Sense & Think & Act" type behaviour where sensing, thinking and acting are done concurrently rather then a "Sense - Think - Act" type behaviour where sensing, thinking and acting are done one after the other.
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| Water Flowing Uphill |
This NetLogo model tries to visually simulate one possible solution to the problem of trying to get water to flow uphill.
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