Search Results for "code ai" - Page 3
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Showing 60 open source projects for "code ai"
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THIS PROJECT HAS BEEN MOVED TO GOOGLE CODE. HERE IS THE URI ... http://code.google.com/p/blackboardeventprocessor/ Regards, Bediako George www.lucidtechnics.com
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JRete is a rule engine written in Java. Advantages over other expert system shell and artificial intelligence(AI) API - code rules in java language, data may compute accross network with multiple JRete, auto data persistence to database, event-fire direc
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Using agent technology JAMAS (Java Awareness Multi-Agent System) tries to assist distributed programmers in coordinating parallel development of Java code. E-JAMAS implements JAMAS and it’s features as a plug-in for the Eclipse platform.
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Message Transport Protocol (MTP) implementation using XMPP for the Java Agent DEvelopment framework (JADE). Produced under the Google Summer of Code program with the help of Quantum Leap Interactive and Jabber, Inc.
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LibSeris is a set of common code for controlling the Seris class of inexpensive personal robots, also created by this project.
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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.
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BoardWars is a teaching utility for computer science classes. It runs as a server supporting multiple turn based board games. The games are played by supplying the AI code in java or c++. BoardWars was funded by the University of Iowa
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Network gaming environment for AI warriors. Offers an application server, a soccer game application, an observer module visualizing a match and a template code for the warriors development.
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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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It's a Cat and Dog game,we develop the Inner AI strategy for the Dog and we also code the strategy of the cat in order to simulate the user. Furthermore we use Artificial Neural Network to build the experiment
