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> You threat both missing the target and beaing hit as penalty. In addition, > all the monsters that can see each other (or communicate) should share > the same neural network -- so that they can learn also from other's actions. I think they should share the same learning set (collection of hits & misses of the hero ). Then each monster is allowed to train n times on that training set. n depending on how fast a learner the monster is. > > Offcourse, once the player changes his weapon or advances a level, the > optimal distance changes. But it will take a while for mosnters to notice > that. > > Perfectly, the monsters would be able to evaluate the optimal distance > also from success or failure of other monsters, not neccessarily having > the same neural network. Not sure how to do it, though. Yes, that's difficult. You'd have to used a 'perceived strength', 'perceived skill' etc. It's logical that Dob the Goblin misses the hero, it's scary if StarSpawn keeps fumbling against the hero, any monster less than a StarSpawn should run away. > > You'd need only few neurons. If you want to include info on character's > equipment. The problem is that if you want the movement of monsters to be governed by NN's, you will have quickly a large amount of neurons. Note that this NN could solve the path way finding for you if you train long enough. T.
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