Search Results for "artificial" - Page 11
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Showing 298 open source projects for "artificial"
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The success of the Internet has made it possible to access a large amount of information providers world-wide. However, for the customer it is not easy to cope with this new richness of information, due to the heterogeneity and the missing transpar
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Zeus Grid is a Grid Computing environment usefull to run systems in heterogenous machines at same time. In this first step, it will only compile, run and collect application results and file storage.
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This is a cross-platform framework for using Genetic Algorithms for solutions. Written in Java and uses convinient plug-in features for every phase in the genetic development, while maintaining an easy-to-use API for easy integration into applications.
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Anarchonomy is a Java application simulating AI agent based production, consumption, trade and force with a minimum of economic assumptions, letting users create and change their own rule and scenario sets.
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MUD engine, enables interaction with text-only, XML clients. Has on-line/in-game world creation capability. WotC's OGL SRD and Java based, capable of scalable worlds across distributed servers. In short a next generation MMORPG engine.
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Mind - Machine Learning is an high scalable and distributed Artificial Neural Network (ANN) which support several architectures and algorithms.
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JCheckers is a basic implementation of the checkers game using the framework from JGameAI. It is a public universitary project and will grow in future. Based on the framework JGameAI we want also improve new strategies on artificial intelligence.
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This project is for automatically rotating images based on content. This was a masters project and contains simple implementations of machine learning algorithms.
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This project aims to develop various tools for artificial life and complex systems simulations: from the simulator itself to generic generation tools.
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NXTAI's main objective is to create a new generation of natural language processing program by using a unique neural networking model. To demonstrate the algorithm works, A chatbot will be developed as a classical example of how it can be used.
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EORS
rational agent
This project aims at creating rationally thinking agents. The agent gather information through command line or network and stores it in its memory. It uses Stanford's NLP library to understand the language statements. -
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A new project extending the basic jGameAI framework. This simulation demonstrates flocking and grouping behaviour as appearing in nature like birds and fisch schools.
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Agentbased simulation of a real world evolution situation with Fox, Rabbit and Carrots in competition for life ressources.
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The Guiey project is an attempt to develop a system for graphical user interface scripting and testing in Java. Guiey will use a computer by seeing, typing, and clicking - just like a human user.
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A chatbot framework currently implementing the ErkiTalk and irc protocol. By specifying parsers for the server's input one can easily create custom bots (if one can program in java of course ;).
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GASPAR implements an dialectical argumentation framework for instantiating the artificial intellect of a software agent. In this artilect, motivations are represented in mental faculties which argue why and how these motivations can be adopted.
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distributed simulation agent system developed for prove and populate agent theory in resource planing branch
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Neural networks, this is my first steps in this neobyatnoy topic, so to speak sample pen, not all here very clear to me, but gradually improving the implementation of this project hope to bring to mind
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This project is an implementation of a computational framework that addresses general-interest low-level problems such as real-time synchronization, sound communication and spatial agent mobility.
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Bebops ("Belief Base Operations") provides semi-revision, contraction and kernel operators for an OWL-backed Belief Base.
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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
