im planning on making an alife simulation with artificial lifes(with artificial brains) ,an artificial world ,
weather , different plants/herbs that contain poison/cures ,etc...
i would like this simulation to consist of the following:
* lifes that learn to find food
* lifes that learn to find a mate for reproduction
* lifes that can contract viruses and also cure them
... and more
I think i have most of it figured out exept for the AI part .I have a
little experience in AI ,my main questions are:
* What type of neural network would be used for these lifes?
* What would be fed to the inputs of these neural networks?
* What would i do with the output of these neural networks
i assume it should be unsupervised?
i looked at `reinforcement learning` but dont know if this is the
right answer,There seems to be that many different types of neural
networks and training sets that it has all got me a bit confused
Its seems that all the tutorials ive found on neural networks are all
based around charcter recognition and stock market prediction,etc...
Thanks for any replies