How does this relate to Robocode then? Well, when I and Crippa checked the book stores for books on Artifical Intelligence in general and ANNs in particular, we found four meters of books and the bulk was about robots. I think there even was seven or eight books about LegoMindStorms? alone! No books on Robocode yet, but it might be on its way. =) In theory at least it should be possible to train a neural network on guessing where enemy bots will be (and when) based on data like recent movement history (see PatternMatching), battle field boundaries, number of enemies... and whatever. I know of only one robot using this method and it is BlotBot by Joachim Hofer, which is a really tough robot to meet. It includes source code, GPL even, so anyone curious can take a look and use the code in their own bots. -- PEZ
Actually BlotBot doesn't use a neural net. An earlier bot of his, XBot, uses them, but it learns too slowly so he switched to more conventional pattern matching for BlotBot. --David Alves
Neural Nets are complicated, large, and tricky to get right. If you want to attempt to understand them better, or you're considering using them in your bots, I highly suggest the [Wikipedia] article and its listed sources. Good luck. This topic has stumped many great coders. --Speal
I have been experimenting with Simple Self Orginizing Maps (No such thing right!?). Here are my results of a simple color matching on a randomized 100x100 starting field, this ran through a loop 100 times. (I had a few underlaying sets of fors to locate the bmu, however, I have a neat idea for finding the bmu faster, even if its not the "best" one).
I'm gonna take my time and do some reading on this subject.
I'm looking into a statistical process with [Markov Chains], has anyone tried these before for targeting and/or movement? --Chase-san
Nope, but we did cover Hidden Markov Models in a Machine Learning course I took this past semester. Interesting stuff... Good luck. It's always good to explore some new statistical analysis methods. -- Voidious
In general as far as I read the only reliable way to use a markov chain in a robot would be almost exactly like a normal guessfactor gun, except that you would recalculate the probabilities each time, instead of just stacking up over time. So much for that idea huh. I have unexpectanly suddenly started understanding what the article was saying. ;) --Chase-san
See also NeuralTargeting