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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.
Full ring Texas Hold'em poker game built around an intelligent AI system. The AI uses players' betting actions to calculate a probability distribution of their hole cards and uses it to evaluate hand strength and the best possible action. Small random changes are made to mimic human behavior and make the AI less predictable. Future versions will include adaptive opponent modeling using neural networks to improve the AI's strength. The AI code can be easily adapted for input from screen scrapers.
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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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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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.