Search Results for "java 3d simulation 2016"
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Showing 10 open source projects for "java 3d simulation 2016"
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The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners. Obtaining the teachingbox: FOR USERS: If you want to download the latest releases, please visit: http://search.maven.org...
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Simulates a biologically diverse tropical island, and the ape inhabitants cognitive processes. For MacOS X, iPad, Windows and Linux. Features a non-polygonal graphics engine and a command-line version
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Urban is a software capable of procedurally creating 3d urban environments. It's based on a multi-agent system where each agent is responsible for one type of urban object. This means the system is highly modular and can easily be extended.
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SIMACT is a 3D smart home simulator for activity recognition developped at LIARA during the summer 2009. The goal of SIMACT is to enable scientist to simulate execution sequence of activity inside a smart home to conduct their research.
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breve is a free, open-source 3D multi-agent simulation package designed for simulating decentralized systems and artificial life.
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jsshagent is an open source project in Java language. It is a Robocup 3D Soccer Humanoid Simulation team.
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Tank Battles is a 3D simulator for teaching robot artificial inteligence. It's heavilly influenced by Robocode, but differs from the former in that it adds the complexity of a full 3D scene, realistic physics simulation, among other features.
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JSoccerLab provides an advanced Integrated Development Environment (IDE) for RoboCup 3D Soccer Simulation developers. It helps developers to debug, and visualize what agents think. Also it is able to connect to 3D-Soccer Server as a monitor.
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In Hoverbots, robots with an artificial intelligence fight each other in a 3D environment. The AI is coded by the competitors in any language. Robots can create drones with up to the same functionality as the robot, or simply as bombs.
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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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