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Growth-grammar related Interactive Modelling Platform
Important: Groimp migrates to Gitlab. You can find the latest code at "https://gitlab.com/grogra/groimp/". The version on Sourceforge will not be updated anymore.
The modelling platform GroIMP is designed as an integrated platform which incorporates modelling, visualisation and interaction. It exhibits several features which makes itself suitable for the field of biological or ALife modelling:
The “modelling backbone” consists in the language XL. It is fully integrated, e.g., the...
This project is about stochastic simulation methods and their applications to physical systems. We develop interactive books, which can be used by students to study physics using free resources. The books contain text and Java source code.
A self-contained, fully configurable Java "game" to simulate multi-species evolution. Design species by optionally specifying every attribute; modify any or all environmental settings; let them loose to eat, fight, procreate, die, and Evolve!
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A cross-platform RPG and adventure game development workshop. Designed to reduce the amount of time to create large scale games by providing custom procedural generation tools.
TUFDefender is a software demonstration of the Time Utility Functions and Utility Accrual paradigms. It is also a framework for simulation, visualization, and game development.
Origin is a evolver for the programming game Corewars. Part of this project is a modified MARS (Memory Array Redcode Simulator) written in C especialy for evolvers. With SWIG its going to be very easy to use in different languages.
This is a pure java implementation of the Motorolla 68000 processor with the ultimate intention of having it as a basis to use in console game emulation.
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.
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