Showing 9 open source projects for "artificial intelligence python"

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  • 1
    breve is a free, open-source 3D multi-agent simulation package designed for simulating decentralized systems and artificial life.
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  • 2
    Siafu simulates individual agents and their context, from home to city-wide scenarios. As a developer, you use the API to write your simulation for the purposes of data-set generation, test or visualization, optionally hooking it to your own application.
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  • 3
    Bandwagon is an experiment in visualising data extracted from community-driven websites.
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  • 4
    Java package to study a clustering model described in the paper \"Novel Clustering Algorithm Based Upon Games on Evolving Network\" by Q. Li, Z. Chen, Y. He and J-P. Jiang (in arxiv: http://arxiv.org/pdf/0812.5064v1), generalizations and similar issues.
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  • 5
    An extended version of RoboCup Rescue Simulation official viewer intended to make it more informative. It utilizes charts, statistics and some missing little useful features.
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  • 6
    An easy to extend, highly graphical, easy to use 2D robot simulator specialized for path planning algorithms. Can be used in testing various robotic algorithms, and already used for comparison of path planning algorithms like RRT, RRTConnect, PRM, RboT..
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  • 7
    multi-agent approach to traffic control: -3D visualization -XML-input for traffic networks -simulation progress control -basic performance statistics -delegate MAS -BDI based vehicles -pluggable behavior modules -pluggable coordination modules
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  • 8
    OlsenRoutes is a software environment with a powerful difference. It provides online users with a library of statistical tools and access to Olsen's database (1985 through today) of tick-by-tick foreign exchange trading prices.
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  • 9
    A project originally for an undergraduate Freshman seminar on motion planning algorithms. Provides a basic interface for drawing obstacles in a 2-D plane and the ability to select an algorithm by which to plan a path in this user-defined world.
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