Search Results for "game source editor" - Page 4
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Showing 98 open source projects for "game source editor"
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Java Fuzzy Editor is a basic editor to allow creation of fuzzy based rules. It will save to serveral formats including to source code in several languages.
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Blubber system is an Eclipse RCP application for distributed systems modeling. Designed for university researches and inlcudes: task graph editor; graph transformation tools; graph modelling on distributed system; real-time modelling on GerdaFramework.
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This project can draw with OpenGL and SDL a 3D world with the JDLV/[Jeu de la vie/Game of life] rulls.
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jColony is an implementation of 'The Game of Life', written in Java in an object-oriented fashion. jColony aims to be as easy-to-use as possible, for both programmers (The source code) and end users (The Graphical User Interface).
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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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B.O.T.S (Bots Tactical Simulation) is a programming game, where players "code" the behaviour of their bot and watch them fight with others bots in a arena. It comes with a full environnement in Java/Swing, for coding, debugging, playing matchs, etc ...
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2D soccer simulation focussing the theoretical covering strategies of the game. Academic research tool based on computational geometry science.
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AGISim is a framework for the creation of virtual worlds for artificial intelligence research, allowing AI and human controlled agents to interact in realtime within sensory-rich contexts. AGISim is built on the Crystal Space 3D game engine.
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A network game in which you evolve a swarm of amoeba to be resistant to antibodies, and then attempt to destroy enemy swarms by taking advantage of their evolutionary weaknesses.
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PNE provides an environment for modeling, simulating, and optimizing biological networks including regulatory and metabolic networks.
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Trading Agent Competition (TAC) is an international forum designed to promote and encourage high quality research into the trading agent problem. The TAC SCM open-source software consists of a Java-based Game Server and and library for developing agents.
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Neural gas is a one of method for competitive learning. This algorithm can be used for example in Machine vision. We have implemented this algorithm on Cell Broadband Engine.
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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.
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Built with R, this code allows the user to simulate the game of basketball. While the main focus is on simulating the NBA, the code provides a framework for simulating other leagues by modifying the default set of rules.
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trafficProfileProcessing
Simulation of allocation of capacity in a MF-TDMA comm system
Executes the SF_period time driven game of processing the traffic profile and computing the number of items of each type to pack each SF period. -
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devsimpy
Python-based GUI for discrete-event system modeling and simulation
DEVSimPy is an advanced wxPython GUI for the modeling and simulation of systems based on the DEVS (Discrete EVent system Specification) formalism. Features include powerful built-in editor, advanced modeling approach, powerful discrete event simulation algorithm, import/export DEVS components library and more. -
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A little game of mine, and right now it`s just a backup. If i`v gon any good stuff i will release it, but not before preprepreprepre-pre alpha
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CodeBot is a java (swing) based application that allows to generate keyboard and mouse events, by using simple scripting configuration. Bot allows to start and manage scripts in new threads. Can be used to write game bots or mouse/keyb simulations.
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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
