- Joined
- Feb 22, 2008
- Messages
- 619
Hello everyone. Today I'd like to discuss a difficult project I worked on for a couple of months.
NERO is a kind of strategy game where you evolve your units to complete certain tasks in a sandbox with the tools they give you, like walls, automated turrets, etc. You can selectively breed your army into laser-barraging wall of death, a team of closely knit maze navigators, a group of dodge ball players or even a kind of super-organism with all of the units working as one whole.
My goal is to create something similar, using the World or Galaxy Editor for its great multiplayer access. (Check out those last two links)
I checked pretty thoroughly for some kind of neural network created in a Blizzard editor, but couldn't find one. Yay!
I've already created most of the senses and the network itself, and most of the framework for evolution, but there are many ways to do what I've done (as you may have seen with the Wikipedia page).
I haven't attached the map yet because I'd love an outside perspective and some input on the links I've provided. I'd be happy to share my work and ideas (incomplete as they are) as a contrast in this thread.
Just to be clear, I'm not looking for a specific kind of neural network, other than that the networks should represent individuals in the simulation. I prefer to use natural selection as opposed to a fitness function for general free evolution. The networks and evolution aspects are part of a larger whole, similar to how NERO has separate gametypes and maps for your evolved networks to interact in, but with more depth and deliberation.
Thank you for your time, I look forward to reading your creative insight.
Some material related to the subject:
Wikipedia's general page about the artificial neural network
Feedforward neural network, the simplest kind
Other types of artificial neural networks
Artificial evolution (evolutionary algorithms)
I was inspired by some evolution simulator videos and a little game called NERO.Wikipedia's general page about the artificial neural network
Feedforward neural network, the simplest kind
Other types of artificial neural networks
Artificial evolution (evolutionary algorithms)
NERO is a kind of strategy game where you evolve your units to complete certain tasks in a sandbox with the tools they give you, like walls, automated turrets, etc. You can selectively breed your army into laser-barraging wall of death, a team of closely knit maze navigators, a group of dodge ball players or even a kind of super-organism with all of the units working as one whole.
My goal is to create something similar, using the World or Galaxy Editor for its great multiplayer access. (Check out those last two links)
I checked pretty thoroughly for some kind of neural network created in a Blizzard editor, but couldn't find one. Yay!
I've already created most of the senses and the network itself, and most of the framework for evolution, but there are many ways to do what I've done (as you may have seen with the Wikipedia page).
I haven't attached the map yet because I'd love an outside perspective and some input on the links I've provided. I'd be happy to share my work and ideas (incomplete as they are) as a contrast in this thread.
Just to be clear, I'm not looking for a specific kind of neural network, other than that the networks should represent individuals in the simulation. I prefer to use natural selection as opposed to a fitness function for general free evolution. The networks and evolution aspects are part of a larger whole, similar to how NERO has separate gametypes and maps for your evolved networks to interact in, but with more depth and deliberation.
Thank you for your time, I look forward to reading your creative insight.
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