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Java Behaviour Trees is a Java framework for easily building and running generic behaviour trees. Here, "behaviour tree" refers to the technique used to control the behaviour of characters in video games.
IMPORTANT NOTE: our sourcecode has been moved to GitHub. You will find it at:
https://github.com/gaia-ucm/jbt
Note however that all the binary files will still be distributed here at SourceForge.
Simple Qt/C++ Project for learning simulation programming.
QtCritters is a simple critter simulation in C++ using Qt, currently under development. The goal of this project is to simulate a simple ecology of various kinds of animals, and to make the source easy to understand and modify. Still very very alpha...
RoboBeans is an interface to the "Robocup 2D Soccer Simulation Server" that allows developers to write Robocup teams\agents concentrating on behaviour and AI without having to worry about syntax of communication or network issues.
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The sourcecode of the Brainstormers' RoboCup champion team 2005 has been made publicly available at the end of 2005. That sourcecode release contains also a lot of our results in applying Reinforcement Learning in the simulated soccer domain.
A common task in indoor robotics is line-following. This code detects and tracks arbitrarily shaped curves in digital images at a rate of 15 Hz on images of size 600x320, which makes it usable for real-time tasks. It is written in C++ and tested on linux
Argorha Pathfinding is an algorithm which permit you to find your way into a polygon soup ( 3D world ) efficently by precalculating a system of sectors and portals. AStar included. Demo in Download section, code on SVN.
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Zigorat is a base code for creating multi-agent intelligent systems fitting in robocup soccer simulator 3d, done and created by Zigorat AI Research Team.
This is a fork of the JollyNinja Bot for Robocode. The project intends to document JollyNinja's sourcecode, make it work in teams and provide a solid API to base other Bots on, especially TeamRobot based bots.
Multi Agent based distributed application. The code can be processed over multiple common machines with fault-tolerance. It is designed to distributively run any Python's script, which can be applied to a given input data set.
This package contains code for the game of EasyGo, a modified version of the original game of go. This package provides a simple API so that the users can code and test their own players. Thus one can not only play, but also program their own players.
Framework for modelling of Natural General Intelligence. This project aims at creation of open source AGI (Artificial General Intelligence) through modelling of natural thinking. See http://roland.pri.ee/bakalaureusetoo/ for theoretical details.