Nero (computer game)
| Nero | |
|---|---|
| Studio | University of Texas |
| Erstveröffent- lichung |
2003 |
| platform | Windows , Linux , Mac OS |
| Game engine | Torque game engine |
| Game mode | Single player |
| language | English |
| Current version | 2.0 (2007) |
Nero (for "Neuro Evolving Robotic Operatives") is a computer game developed in 2003 by the University of Austin ( Texas ) that implements current research in the field of machine learning using a so-called neuro-evolutionary algorithm . The original project was supported by the National Science Foundation , among others .
The NEAT algorithm , developed by Ken Stanley, was released under the free GNU General Public License . The computer game Nero was the first application of this advanced algorithm.
In the game you train robots that get either a positive or a negative rating from the player for their actions. Well-rated virtual gene configurations have a higher chance of being fused with another gene in the simulated evolution .
The current version 2.0 uses the Torque game engine from GarageGames . The simulation is presented in a 3D landscape environment, in which the robots can control battles in a second stage.
The project has been continued under the title OpenNERO since 2010.