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

["David Fotland" <fotland@xxxxxxxxxxxxxxx>]

Manhattan distance reflects the connectivity of stones.  A one point
jump is similar to a diagonal move (both distance 2), etc.

David

> -----Original Message-----
> From: computer-go-bounces@xxxxxxxxxxxxxxxxx 
> [mailto:computer-go-bounces@xxxxxxxxxxxxxxxxx] On Behalf Of 
> Frank de Groot
> Sent: Monday, November 01, 2004 12:21 PM
> To: computer-go
> Subject: Re: [computer-go] Designing faster, better influence 
> functions
> 
> 
> 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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