Search Results for "ai linux" - Page 11
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Showing 504 open source projects for "ai linux"
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Attimas-os is an open Source project for artificial inteligence develpment tools This is a component-based toolkit enabling rapid development of FIPA compliant agents.It must supports the majority of the FIPA Experimental specifications
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Agent inter-platform mobility service for the well-known JADE agent platform. This service allows software agents to move from one execution platform to the next, carrying their own data and state, and resuming their execution upon arrival.
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HealthAgents is an open source web-based distributed decision support system (DSS) which provides hospitals and organisations with a reliable tool to aid in the diagnosis of brain tumours and their prognosis aiming to avoid invasive surgical procedures
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Symbiomotive is an extensible engine for modeling multi-agent environments that exhibit self-organizing, symbiotic behaviors.
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Robotic Simulator: try different AI techniques to improve your robots. Special for competitions, research, or educational use.
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SimpleShogi is a Java implementation of the game Shogi (japanese chess) it supports hot seat and multiplayer via network (UDP). SimpleShogi offers intuitive symbols for beginners but does not implement an AI-player.
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The FlashServer is a part of the MASSim project of the Computational Intelligence Group at the TU Clausthal, Germany and his main task is the visualization of the games as Flash videos. Currently the FS is not in use during the Multi-Agent Contest.
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A demonstration of the result of using an agent based approach in software. Shows a swarm of icons representing agents that follow user selected rules.
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JAVA based tool for easy and realtime monitoring (RTM) of data streams or groups of data streams. This tool makes it easy to monitor inherent distributed or multi-threaded applications like e.g. agent systems, financial data, logistics, RFID Systems
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Ms. Pac-Man Simulator used for Game AI research.
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A Checkers game implementation in Java that is optimized for AI's. It includes a basic GUI and a trainer for learning AI's. This started as a Checkers program for a Checkers AI contest in the Stanford EPGY 2008 summer AI course.
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A continuously-evolving population/intelligent AI/environment/evolution simulator. Players manipulate a given world in which creatures with varying characteristics attempt to survive by eating, avoiding harm, and reproducing.
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Security is a subject of major concern in mobile agents. This project provides a security framework that allows the protection of mobile agents from third parties. A self-protected approach, where the agents themselves manage the process, is used.
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A java Diplomacy program capable of resolving orders, with a dumb AI. Usable from either a GUI or a CLI. Was being rewritten in python, that stopped. Also includes a completely separate python version that supports star trek dip (variant bank st02)
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A Java based version of risk that will incorporate not only, single, hotseat and network multiplayer, but also configurable and programmable AI bots allowing you to pit your strategies against a computer.
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This chess program changes its strength to give the best match against you. Eventually it learns to beat you specifically through learning alogirthms. Features included transposition tables and a elementary 3-piece endgame tablebase.
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QASE is a Java-based API designed to provide all the functionality needed to create game agents in Quake 2. Powerful enough to facilitate high-end research, it is also suitable for undergrad courses geared towards classic AI and agent-based systems.
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Highly reusable and extensible Decision-Tree (Max-Gain) framework comprising of comprehensive input-processing and display functionality. Handles nominal, linear, continuous data. For preliminary description, refer - http://sushain.com/blog/archives/
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Blunder is an automated tool for analyzing chained exceptions in Java. It's usefull for classify, generate a customized error message and a list for possible solutions.
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The implementation of Bee Hive @ Work algorithm that simulates the foraging behavior of honey bees in nature. The aim is to provide an extensible framework that can be used by researchers to simply create new applications of this algorithm.
