A lightweight Python-based 3D network multi-agent simulator. Uses a cell-based congestion model. Calculates risk, loudness and battery capacities of the agents. Suitable for 3D network optimization tasks.
License: MIT License
An input scenario that places too many agents on a link should be handled realistically by the simulator.
e.g. 50 agents can be placed on a capacity 1 link, but then only 1 agent should be able to move
As of now, all agents move freely on the first link they are generated on.
Starting the CommandLineInterface on default settings causes an error (see screenshot). The problem stays also with the simple scenario, but without lines 157-162 in ScenarioParser, it works.
React
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An Open Source Machine Learning Framework for Everyone
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The Web framework for perfectionists with deadlines.
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A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
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Some thing interesting about web. New door for the world.
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Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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