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This project has been moved to https://bitbucket.org/pbazant/evoversum/src/master/ .
Evoversum is a fast Darwinian evolution simulator. The program simulates a 2D world populated with "animals" which struggle for food, reproduce and may also eat each other. The subject of evolution is their behavior, which may become quite complex. There is an updated video tutorial at http://www.youtube.com/watch?v=nPkZvyVDWJU !
Software agents and human actors combine their decision making skills to arrive at efficient solutions to real-life planning and scheduling problems, especially in domains where unexpected incidents require changes to existing plans.
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JECL, pronounced "Jekyll", is an open-source Java library implementing
a variety of evolutionary algorithms. The goal is to provide a uniform interface for describing problems, running evolutionary algorithms, and accumulating results.
The Java Evolutionary Computation Library is no longer under active development. We suggest the MOEA Framework (http://www.moeaframework.org/), jMetal (http://jmetal.sourceforge.net/), ECJ (http://cs.gmu.edu/~eclab/projects/ecj/) or JGAP...
OpEx is an application suite that includes the main building blocks of commercial electronic trading systems.
All OpEx applications run on distributed system architectures.
An artificial neural network, currently specialized to save a specific bit pattern, mainly by changing the signal propagation delays in links. More features, variables and algorithms will be added in time.
NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.
PyBact is an open source software written in Python for Bacterial Identification. The software generates simulated data matrix which accurately represents the probabilistic positive/negative results of the tested biochemical test.
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A unified collection of algorithms for Artificial Life. It includes evolutionary algorithms, neural networks, data mining tools, compilers, among others.
This is my implementation of Langton's Ant (a popular turing machine, see http://en.wikipedia.org/wiki/Langton%27s_ant for more information) using C#. Supports multiple ants and threading. Video: http://www.youtube.com/watch?v=Vu9C_1DH31k
Graphical interactive windows application and library written in .Net/C# for simulating and controlling robots. Including firmware for ATmega8 to be controlled by the C# library and circuits for the ATmega8 controller board and L298-based motor board
This project is a complete cross-platform (Windows, Linux) framework for Evolutionary Computation in pure python. See the project site at http://pyevolve.sourceforge.net or the blog at http://pyevolve.sourceforge.net/wordpress
The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover
Headrand is a static library wrote in c that contains functions to simulate complex systems or make statistical analysis with a new approach called "random function computing"
Java based multi-agent platform built on an organizational model (agent, group, role). MadKit provides general agent facilities (lifecycle management, message passing, distribution, ...), and allows high heterogeneity in agents.
MASyV (Multi-Agent System Visualization) enables one to write agent-based models/cellular automata, eg. in C, visualize them in real time & capture to movie file with MASyVs GUI & message passing lib. Includes examples: Hello World, ants, viral infection
Siafu simulates individual agents and their context, from home to city-wide scenarios. As a developer, you use the API to write your simulation for the purposes of data-set generation, test or visualization, optionally hooking it to your own application.
This project is dedicated to developing a simulation of the financial market using multi-agent approach. This kind of simulation is often called an Artificial Stock Market (ASM).
DCOPolis is a framework for comparing and deploying distributed decision processes in heterogeneous environments, including simulation in a virtual machine.
SimIS presents an agent-based simulation environment from multiagent research to simulate Internet-of-Services systems. The simulation environment bases on Repast Simphony 1.2 (http://repast.sourceforge.net/).