Mako/Movement

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.

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. =)

-- PEZ