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MEDDAC is the seeding point for designing a new approach to Operating System design itself. It is an Open Source project with roots in mainframe design and development the author began in 1979. Monitor Editor Disassembler Decompiler Assembler Compiler
OpenSim - Open Simulator. Primarily a 3D simulator for multiple indoor and outdoor mobile robots. Includes 3D real-time rendering (via OSG) and a physics engine (via ODE). Current emphasis is on manipulators.
Cluster Networks are a new style of neural simulation / neural network modeling, that models networks of neural populations ("clusters") that transform and transmit information using precisely-timed, graded bursts ("pulses" or "volleys") of firing.
HiTacWar
Hierachical Tactical Warfare
Game Engine which depends on freecnc.
Main Points are KI Based Commando Structures, Electronic Warfare, Research and Shadow Structs and Shadow Armies.
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Computational modelling is a interdisciplinary field spanning many techniques and programming languages. AgenTools is a project dedicated to establishing increased modularity in scientific computing packages and a portal linking to other existing project
CRaPI - Correct, Robust and Perfect API for simulated RoboCup - is a framework for development of teams in the RoboCup simulated league. The framework is event driven, not bound to any specific agent architecture and works with soccer server 9.x
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Mantis Robotic project consists of an open-source sets of reusable
C/C++ libraries for manipulation of diverse kinds of robots,
mostly for educational purposes and hobbies.
An artificial intelligance framework using partitial order planning for C++.
A set of classes that provide means for computer software to
do simple planning to achieve a goal. Here we use predicate logics
to tell the planner our current situation, out
Fully templated C++ library for Steering Behaviors of Autonomous agents (characters). The library comes as package where you can create your own behaviors using the power of templates.
Grok is a library of natural language processing components, including support for parsing with categorial grammars and various preprocessing tasks such as part-of-speech tagging, sentence detection, and tokenization.
nnet is a C++ library for artificial neural networks. Feed-forward networks with back-propagation are supported. Other network architectures may be derived from generic classes for neurons, synapses (connections) and networks.
This library defines classes for using genetic algorithms to do optimization in any C++ program using any representation and genetic operators. The distribution includes extensive documentation and many examples.
An open Gnutella network library based on GnucDNA. It is platform-independent, developer-friendly and efficient, developed in portable C++. Easy enough for the casual P2P developer and advanced enough to satisfy the research project needs.
Tourk is a framework for developing programming games, where two (or more) people write game playing code (like Deep Blue) and a controller puts the two against each other.
UMDS is small, strong and expansible project. The model offers a uniform method of conceptual view of the diverse data as a sequence of bits and a uniform method of keeping and processing
this sequence on the external storage.
Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.
An open source set of embedded software libraries in C, C++ and Assembler for robotics programming, targeting controllers using Motorola 68K/ColdFire & PowerPC micros. The initial target is the 68332-powered Mini RoboMind controller (www.robominds.com)
ga2 is a simple C++ library providing the necessary base classes to implement a genetic algorithm in C++. It is based loosely on Goldberg's canonical GA, but with many modifications, improvements and additional features. Essentially feature-complete, and
The ROSETTA C++ library is a collection of C++ classes and routines that enable discernibility-based empirical modelling and data mining. Comprises useful routines for machine learning in general and for rough set theory in particular.