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On Mon, 1 Dec 2003, Jeff Lait wrote: > > The Sheep wrote... > > > > No, no. The single event is the shoot. Not whole encounter. The shoot > > might hit or miss. When monster shoots and misses -- it's bad for him. > > If he shoots and hits -- it's good. Then, the player doesn't stand still. > > When the player shoots and hits the mosnter -- it's bad. When he shoots > > and misses -- it's bad. > > 1) This seems highly asymmetrical. If the monster shooting and > missing is bad, surely the player shooting and missing is good? If you were walking down the street, or dungeon, or whatever, and I shot at you, and I missed, would that be "good" or "bad"? :) > After all, if the player can't hit me due to my superior AC, I > *should* stay at a distance and keep hitting him. I think The Sheep said this, in the next paragraph (comparing h2h and ranged attack values). If the player is known to be a terrible shot, then sure it makes sense to stay back. But I think the monster is supposed to be in the dark about the player's average accuracy, and thinking more along the lines of "Holy ***, that guy's got a bow! Help!" > 3) In any case, this is *easily* determined in close form. There is > no need to train a NN with the inputs of the success of hitting with a > missile attack. We can exactly calculate the MOBs chance to hit with > the missile attack. We can exactly calculated the expected > damage/second of the MOB against the human. If your goal is to muddy > these values by having them trained by the NN, I'd suggest it's a lot > more efficient to start with the real values & muddy those. Then you > have fine control over the smarts of the mob. You could even do this > artificially. Every time a MOB strikes at the avatar, increment a > learn counter. The size of the learn counter can be used to feed > into the AI by providing a more accurate estimate of the to hit > chance. This obviates the need for any complicated NN design with > questionable convergence. One can tweak the exact rate of > convergence. I tend to agree, but then I don't know anything. Besides, NNs are so much *fun*! (No, I have no experience with neural nets either...) ;-) -Arthur, luckily, he missed the pitchfork.
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