Search Results for "artificial intelligence java source code" - Page 4
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Showing 97 open source projects for "artificial intelligence java source code"
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A game/toy that simulates a world environment with organisms to survive: game of life with more complex rules. Every programmer can make his/her own organisms and compete with others. Hopefully in the future it will support genetics.
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This is a framework to develop Contexts and Agents and a Container to run them. The Container lets each Agent interact with the Context and other Agents. The agents are deployed in jar files and each one runs in an exclusive sandbox.
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A java framework for developing meta-heuristics that supports the use of grids environments. The meta-heuristics planned to be realeased are GAs, VNS and NNs. The grid middleware that will be firstly explored is the OurGrid solution.
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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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
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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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This project is an example of a software agent for playing simulated soccer. The agent uses a FSM library and an Expert System library to make decisions.
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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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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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distributed simulation agent system developed for prove and populate agent theory in resource planing branch
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GAZES - Genetic Algorithm Zombie Eradication Simulation Grid-based simulator for zombie scenario. The units will use genetic algorithm to determine their actions on a cycle by cycle basis. This is a school project, so is likely on hiatus for summer.
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Wintermute Gambling Engine is a neuronal neutwork for playing Oddset (German Soccer Bets). Written in Java and parts in C#.
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GAP (Grid Agents Platform) Toolkit for Modeling and Simulation of Mobile Agents in Grid Environments. GAP is an abstraction over GridSim, a Grid Simulation Toolkit for Resource Modelling and Application Scheduling for Parallel and Distributed Computing.
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A large scale multi-agent simulation platform which employs a distributed architecture to achieve stability. Prototype by http://cstep.in
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A project originally for an undergraduate Freshman seminar on motion planning algorithms. Provides a basic interface for drawing obstacles in a 2-D plane and the ability to select an algorithm by which to plan a path in this user-defined world.
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This project is a simulation of the behavior of the human immonological system. It does not intend, in this very first moment, to be a complete simulation but it's going to try to simulate the most important part that is the adaptative response.
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aVolve is an evolutionary/genetic algorithm designed to evolve single-cell organisms in a micro ecosystem. It currently uses the JGAP Genetic algorithm, but does include a primitive genetic algorithm written in Python.
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LiNNS is not just a Neural Network Simulator, but a Neural Network System - a framework which covers the full lifecycle of a neural network, from design and research till usage in an external application.
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A .Net Library that lets you make full use of multi-core and multiprocessor computers. It is very efficient, and easily integrated into existing applications. It is modeled after the Parallel FX usage model, and is faster than the PFX too.
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JavaGO is an Open Source Java library for the Game of GO (weiqi, baduk) analysis. Implements: base game classes, montecarlo simulations, SGF reader/writer, game variants, GTP, etc. Elegant interfaces/class design. Speed efficient w/small footprint. TDD.
