Re: [computer-go] Designing faster, better influence functions

["Frank de Groot" <frank@xxxxxxxxxxxxx>]

To: "'computer-go'" <computer-go@xxxxxxxxxxxxxxxxx>
Sent: Sunday, October 31, 2004 7:04 PM
Subject: RE: [computer-go] Designing faster, better influence functions

I was wondering, why do most influence functions (like Fotland's) use the
Manhattan distance for the strength of the influence and not the Pythagorean
distance?

I can see that the argument is that the Manhattan distance is the number of
stones needed to connect, but in Go, diagonally connected stones are pretty
strong, so one would expect that the Manhattan distance is mainly used
because it speeds up the calculation perhaps?

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