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Snackware is a project aimed to create a "competition of coders" by making different classes or functions to battle amongst themselves against the rules of a game. It's not a traditional game, anyway, since it work with no human intervention.
Artifical Life simulator that employs techniques from evolutionary computing to design embodied neural networks. Essentially, simple organisms run around in a small 3-D world and compete and breed with one another. Please visit the Wiki for orientation.
The XCS library aims at providing an opensource framework to study and develop applications related to learning classifier systems.
In particular, it is focused on the learning classifier system models introduced by Stewart Wilson in [1,2].
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The package implements a variety of tools for categorization of multivariate data such as boosted decision trees, bagging and random forest, bump hunting (PRIM), a multi-class learner and others.
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This is implementation of parallel genetic algorithm with "ring" insular topology. Algorithm provides a dynamic choice of genetic operators in the evolution of. The library supports the 26 genetic operators. This is cross-platform GA written in С++.
Applications contributed for URBI (Universal RealTime Behoavior Interface). URBI is a scripted command language used to control robots (AIBO pioneer..) as well as a robot-independant execution and developpement plateform. www.urbiforge.com www.gostai.com
The Rossum Project is an attempt to collect and distribute robotics software. We are seeking help with our first project, a mobile-robot simulator featuring a 2-D virtual world, and new work including artificial intelligence and robot-control logic.
A common task in indoor robotics is line-following. This code detects and tracks arbitrarily shaped curves in digital images at a rate of 15 Hz on images of size 600x320, which makes it usable for real-time tasks. It is written in C++ and tested on linux
Library for Recurrent Neural Networks supporting local and global learning rules and structure modification. For processing of the RNN, a computational efficient representation can be chosen.
This project consists of neurodynamic simulation software, for large scale associative memories and self-organizing competetive nets. NVIDIA's CUDA library is used for acceleration. Written in C++ and meant for a Unix-like environment.
This project is inspired by "lletters". It aims at displaying images and words corrosponding to alphabets but it integrates a "Text-To-Speech" (TTS) system to say out the words. The word list and corresponding images will be loaded from a XML file.
Argorha Pathfinding is an algorithm which permit you to find your way into a polygon soup ( 3D world ) efficently by precalculating a system of sectors and portals. AStar included. Demo in Download section, code on SVN.
An implementation of memory-prediction framework applied for image recognition. Based on Jeff Hawkins' book On Intelligence. It models the high-level hierarchical architecture of human neocortex and uses Bayesian belief revision for making predictions
Structlab is a machine learning C++ framework for structured domains, which provides a toolbox of learning methods and tools for preprocessing and visualization. It also provides a GUI to setup elaborate experiments in a visual and intuitive way.
LabLOVE (Life On a Virtual Environment) is an evolutionary multi-agent simulation environment. It is fast, modular and extensible. Contains the reference implementation for the gridbrain algorithm.
Zigorat is a base code for creating multi-agent intelligent systems fitting in robocup soccer simulator 3d, done and created by Zigorat AI Research Team.
RegMAS (Regional Multi Agent Simulator) is a spatially explicit multi-agent model framework, developed in C++ language and designed for long-term simulations of effects of government policies over agricultural systems (farm sizes, incomes, land use..).
Subverse Project is a system to agent interaction in a virtual world with objective of studies and learns of Artificial Intelligence algorithms. It is a set of parts to create a simulated environment of Artificial Inteligence and learning.