Talk:LittleBlackBook

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Revision as of 03:04, 18 June 2009 by Miked0801 (talk | contribs) (New version, but will (does) have some holes to plug.)
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Congrats!

Congrats! It's nice to see some movement in the nano scene lately. I was pondering predefined data bots myself actually. I'm curious though, you say "Any perfect dodge stop and go will kill it", which seems odd to me. It should be quite trivial for a distance/lateral segmented GF gun to hit that I'd think... --Rednaxela 01:51, 15 June 2009 (UTC)

Math.signum() off e.velocity screws up 0 velocity checks and I have no velocity averaging. I'll check other bots for inspiration though. Has to be TINY though
What about... static double foo = 1; foo = e.velocity + 0.01*foo; foo /= foo;? Not sure if that would be small enough, and I haven't checked it's codesize, but I think it's smaller than any others ways to handle that which come to my mind. I think it's smaller than static double foo = 1; foo = (e.velocity == 0) ? foo : Math.signum(e.velocity); anyway, since conditionals and function calls are expensive if I remember right. I'd also suggest seeing if you can get rid of the need to normalize the value to 1/-1 all together, but that may not be possible in this case. --Rednaxela 04:15, 15 June 2009 (UTC)
Anything having to do with statics are expensive. Your above code is probably around 25 bytes or so. Math.signum(e.getVelocity()) is 6 or so. I can easily fix my problem by adding +1 to the e.getVelocity() check on the inside of the gun( for 2 bytes)... But! It will only hit perfect stop/go 50% of the time as it is setup to use the velocity to know how far to lead. Also, bots like FretNano who have good guns, but get stuck on walls randomly, would then be unhittable. I get 1 lead value per distance segment at the moment. I've got a few ideas on how to improve this, though it will double+ the size of my string table. I will adhere to the 200k max limit and with 1000 or so bots to profile, I have to be careful on size. --Miked0801 13:38, 15 June 2009 (UTC)

Hi! Awesome results! Now that I looked at the code, I think there is one little problem with the overall concept: every time a new robot or a new version of a robot appears, you have to update the stats in your bot. --HUNRobar 10:31, 15 June 2009 (UTC)

And a decent problem it is. I'm going to review the string libraries today to see if I can find a "closest to this name" type function for my search. That'll at least handle versioning. The version in there right now is using default behavior against Pugio because my table is setup for 1.40. When all your other versions get cleared from the rumble, my rating will go up another .5 or so. --Miked0801 13:38, 15 June 2009 (UTC)
HashMap<String, String> enemyGF; enemyGF.get(e.getName().split(" ")[0]); =) » Nat | Talk » 14:03, 15 June 2009 (UTC)

Nice! I may re-release Ocnirp 1.0 to screw your stats =) Updated Wikipedia page for you now. » Nat | Talk » 12:00, 15 June 2009 (UTC)

Don't bother, I'm already using default values against that bot so it wouldn't make any difference so Nyaa Nyaa! :) --Miked0801 13:48, 15 June 2009 (UTC)
Really? I don't think so. (default is 50-40-30-20-10-0, right?). Beside, I'm working on Nano adaptive movement (Mysterious is its fail attempt) =) » Nat | Talk » 14:03, 15 June 2009 (UTC)
Ok, you win. There are quite a few bots taht got default cases though. For some reason I thought Ocnrip was one. And, yeah, nice string match there. I could fit that if, oh I don't know, I took out all my movement code ;) --Miked0801 14:20, 15 June 2009 (UTC)
That doesn't call fit, really. :P » Nat | Talk » 14:53, 15 June 2009 (UTC)

Thanks! Links and work email address removed. --Miked0801 15:27, 15 June 2009 (UTC)

He he, the revision system still have it. =) » Nat | Talk » 15:32, 15 June 2009 (UTC)
Yep - but at least basic spider bots won't pick it up and spam be about male enhancement products :) --Miked0801

Ok, new version in the wild. I expect this release to be better against stronger bots, but I also expect some startlingly poor results against a few bots. These I can tune back to either the old values or a combo of new and old. Stelo.MirrorNano being an example. My next release will beat this bot 90/10, but now LBB is losing 45/55. No panic :) --Miked0801 02:04, 18 June 2009 (UTC)