User:Nat/NeuralTargetingQuestions

Just wonder, and have nowhere to ask, and the statement is pretty long, that should this call Neural Targeting? Please read an article below and make your conclusion.

-- I'm not very good at English, some statement might not clear, feel free to ask.

Take a look at GuessFactor Targeting. The traditional GuessFactor Targeting use a combine of GuessFactor, visit count stats and waves. The 'DC-GF' use the difference combination, it use Dynamic Clustering instead of Visit Count Stats. That, indeed, should not call a GuessFactor Targeting anymore, but since it use GuessFactor, too, it still called GuessFactor Targeting.

Take another look at Pattern Matching. The heart of Pattern Matching is to 'match' the history, then do Play-It forward. Play-It Forward is also use by another type of gun, the DC-PIF gun used by Tron, Shadow, Aleph and some more.

Now, Neural Network. Neural Network is to make a 'machine learning'. First we need to train it with a pair of input/output. After training, it can return an output that associated with new input. When use in targeting, use can use any type of input/output. It can be velocity/heading -> heading or distance/velocity -> GF.

The most success robot that use Neural Network is Engineer. It use input of situations and output of a GF. It is a Neural Targeting, but is that right name?

By the word, Neural Targeting is mean to use robot's 'brain' to calculated enemy future position (not to be confused with Albert's Future Position). It is reasonable. But wait... Horizon/DrussGT (and more) use Dynamic Clustering, GuessFactor and Wave. The only difference from 'traditional' GuessFactor Targeting is the Dynamic Clustering part and we still call it GuessFactor Targeting because it still use GuessFactor!!! What about Engineer? Engineer use a combine of Neural Network, wave and GuessFactor. The only part that difference is Neural Network. It still use GuessFactor, too! Why not we call it GuessFactor gun, too?

PEZ once wrote that Engineer use a pair of situations/GF as input/output, much like GF gun. OrcaM (and few other) use input of velocity,deltaheading/deltaheading as an input/output, much like Pattern Matching.

New, let see a shorten of these words:

• GuessFactor Targeting -> GF
• Dynamic Clustering -> DC
• Visit Count Stats -> VCS
• Neural Network -> NN

In Targeting Challenge gun field, it is (usually) write as GF/VCS, GF/DC and other. Why should not we call Engineer gun GF/NN? and Engineer Movement as WS/NN? and the OrcaM as NN/PIF?

Thats all, thanks for reading.

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Comments

Please read and vote. I just want to know, not to revolutionize. It is pretty long, but if you use English as your mother tongue, you can read it. Please help me correct the grammar :-) » Nat | Talk » 04:44, 23 March 2009 (UTC)

Agreed except I prefer NN-GF and VCS-GF over GF/VCS and GF/NN. Not a big deal but find the order "Stats-Predict" more natural, because if I think of being a bot aiming have to process the stats before doing the prediction. As a related note I once made a NN that wasn't just PIF but was true PM in it's inputs (it never worked well but that's beside the point). I'd term that gun PMNN-PIF or PM/NN-PIF. As a further note on terminology, I'd like to put forward the following abbreviation syntax for guns that use virtual guns or crowd targeting: Recent DrussGT that uses DC main gun, PM gun, and VCS anti-surfer would be VG(DC-GF, PM-PIF, VCS-GF). RougeDC on the other hand which uses crowdtargeting of DC and PM would be CT(DC-GF, PM-PIF). --Rednaxela 05:28, 23 March 2009 (UTC)