I'm not ready, yet, to reveal what kind of theory is behind Mako's current movement. But I can say this:|
* When I got the idea I thought that it would be:
** hard to hit for PatternMatching aim
** easy to hit with StatisticalTargeting
* OrcaM is one of the best bots around against it (though I haven't tried ScruchiPu yet because it doesn't work on my PowerBook).
Having given this some thought I now understand why pattern matching works so well against it, but I still don't understand why it flattens the [movement curve]? like it does. The movement leads to predictability on the short term but not on the long term. I should have realised that immediately, but I'm glad I didn't since then I would probably not have taken this path.
I threw out the Mako 1.3 movement system since it was flawed and predictable in the short term.|
However, I now think I know how to get my RandomMovement implementations to produce flatter movement curves so I might soon release a bot which tricks both statistical and pattern matching aim. "Might" being the key word there. =)|
Now Mako sports a kind of RandomMovement. Soon enough we'll see if it's any good.|