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#NETLOGO ICON PATCH#
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# The Mouse Tells the Patch to Run the Listener

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An event listener names the event, and contains code that is run by the patch when the event occurs, in the form of an anonymous command procedure.

Patches that need to respond to events add an 'event listener' to their own list of listeners (the m:LISTENERS list) using the m:LISTEN-FOR command. Usually this is focused on the patch directly under the pointer. The pointer also dispatches control to patches that possess event listeners matching the currently occuring event. This may make sense where it's the pointer, more than the patches or turtles, Your code can simply monitor and use those properties as it wishes. # The pointer raises events and updates pointer-related properties One is to allow patches to pass events on to associated turtle-based controls, as in the tune-town demo The pointer also exposes some properties useful for your other mouse-interactions.įor any model that needs mouse-based user interaction where more simple techniques won't do, or where the modeler doesn't wish to write their own mouse code. Patches can listen on behalf of other agents. Patches listen for events sent by the mouse code, using event listeners added to their listener collection, and run their own code in response. A breed of turtle follows the mouse pointer, and triggers events based on position and the state of the mouse button. Beginners with netlogo may stumble through the mouse interface code, stealing time, effort, and energy from the novel and interesting parts of their simulation. Some times it's quite simple, other times, complex. We find ourselves writing the same mouse code over and over. This module provides a framework for handling complex mouse operations. TUNE-TOWN also demonstrates an implementation of Turtle-based Toolbar, Buttons, and Button Icons. TUNE-TOWN uses Click, Drag, Drop, Long-Click, Patch-Enter, Patch-Exit, Drag-Enter, Drag-Exit, Click-End, Click-Start. TUNE-TOWN is an incredibly elaborate demonstration of the mouse driver.

#NETLOGO ICON DRIVER#

# MOUSE DRIVER NLS FILE CODE IS INCLUDED IN MODELING COMMONS. # Featuring Steiner's Over-Engineered Mouse Driver for NetLogo 2022 # USE PORTALS TO JUMP BETWEEN NEIGHBORHOODS USE ONE-WAY SIGNS TO CONTROL TRAFFIC FLOW. Although the initial data in each simulation are generated randomly, and the model is just an approximation of real-world airports, the definition of this case of use of AmI through NetLogo agents opens an interesting way to evaluate the benefits of using AmI, which is a significant contribution to the final development of AmI systems.Do you have questions or comments about this model?ĭRAW ROADS.

The NetLogo model simulates an airport with agent “passengers” passing through several zones located in a specific order in a map: passport controls, check-in counters of airline companies, boarding gates, and different types of shopping. In our NetLogo model, we are considering scalability issues of this application domain but using FIPA and BDI extensions to be coherent with our previous works and our previous JADE implementation of them. In this paper, an existing agent architecture, an ontology and a 12-steps protocol to provide AmI services in airports, is evaluated using the NetLogo simulation environment. Second, measuring time savings obtained through a correct use of context information.

The proposed simulation environment analyses such benefits using two evaluation criteria: First, measuring agent satisfaction of different types of desires along the execution. Many AmI applications are implemented through agents but they are not compared with any other existing alternative in order to evaluate the relative benefits of using them. In this paper, an agent-based simulation is developed in order to evaluate an Ambient Intelligence scenario based on agents.

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