#NETLOGO ICON ANDROID#

A description of the icon will appear in the YOU ARE A: monitor. The icon is their unique identifier so it's easy to distinguish themselves from other animals. Their character will consist of an animal indicator, a wolf if they are a predator or a sheep if they are prey, and an icon. POPULATION plots the total of each type of animal.Īfter logging in, the client interface will appear for the students, and if GO is pressed in NetLogo they will be assigned a role as predator or prey at random. It will kill all the androids and clear the plots.ĪVERAGE ENERGY plots the average energy of all predators in red, and all prey in green, this includes androids. To start the game over press the SETUP button, this will return all students to initial energy levels and place them at a new random position. If you wish to change all the students to either predators or prey press the MAKE-STUDENTS-PREDATORS or MAKE-STUDENTS-PREY buttons. Thus modifying this slider controls the amount of grass that is available for the sheep to consume. PLANT-REGROWTH-RATE brown areas regrow grass at every tick in the model. You can control the amount of energy each animal gains from consuming food by using the PREDATOR-GAIN-FROM-FOOD and the PREY-GAIN-FROM-FOOD sliders. The total number of PREDATORS and PREY, including both students and androids are displayed in the corresponding monitors.

#NETLOGO ICON ANDROID#

You can control the movement of the androids using the WANDER? switch (which determines whether they move at all) and the ANDROID-DELAY slider (which determines how many seconds elapse between android movements). You may also want to create android predators or prey using the ADD-PREDATORS and ADD-PREY buttons. To start the game first press the SETUP button then press the GO button and ask the students to log in. Every tick each prey has a PREY-REPRODUCE chance of creating a new prey, and each predator has a PREDATOR-REPRODUCE chance of creating a new predator. However, androids do have the ability to reproduce, which student agents do not. If the energy of an android goes below zero the android merely dies. By recreating the students have some control over the populations in the world and can dramatically shift the population dynamics. they cannot be eaten, they cannot eat, and they cannot move. Until the student 'recreates' they cannot interact with the rest of the system, i.e. If a student controls the animal, that student is given the option to 'recreate' as a predator or prey. If an animal's energy gets too low it dies.

Android predators and prey can wander around the world at random, while student predators and prey are directed through the HubNet clients. The grass is also a limited resource it regrows at a fixed rate. In other words, a prey agent does not die the very first time they run into a predator.

Prey can be caught by predators a few at a time before they ultimately die out. Each predator agent can be thought of as a pack of wolves and each prey can be thought of a herd of sheep. Prey also lose energy when predators catch them. All animals gain energy by finding food and expend energy in the search for food. Prey eat plants (green areas), while predators eat prey. Predators and prey move around the world, searching for food. The model allows students to examine simple population dynamics like those modeled through the Lotka-Volterra equations in a participatory way. The wolves gain energy from consuming sheep, and the sheep gain energy from consuming grass (a primary producer).

The population consists of wolf packs (predators) and sheep herds (prey), some controlled by students via HubNet clients and some androids controlled by the computer. This model simulates a predator-prey relationship. Do you have questions or comments about this model?

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