The dANN project is a library to help facilitate artificial neural networks, artificial intelligence, and artificial genetics within other applications. It is currently written in Java, C++, and C#. However, only the Java version is currently in active development. The other versions can only be obtained from SVN. It provides a powerful interface for programs to include conventional artificial intelligence technology and artificial genetics into their code. It also acts as a testing ground for research and development of new concepts.
ca-ga is a toy artificial life simulation that uses genetic algorithms on large cellular automata. It uses simple but easily extended DNA that is 8k long by default, though you can take the size out to anything you have time to evolve. It sits under each cell of a 128x128 board and orders operations to transfer energy in the hopes of achieving a kill and breed. The simulation features a mutating fitness function, emergent sex, and a proof of concept real world fitness function. After enough generations, the cells or genes could achieve collectivism and organismhood, coordinating the values of the hotspots that determine board temperature in order to maintain a desired equilibrium. But maybe not. If you work in a fitness function, an optimizing problem solver results.