I took AMAF as the process to consider all the moves regardless when
they were played in the sequence (although a slight discount for later
in the sequence seems to help a little) whereas RAVE is using an
undefined method to favour some nodes over others prior to expanding
them. The reason (as far as I understood so far) they get confused is
because a popular method to use in RAVE is in fact using AMAF values.

Mark

On Tue, Dec 15, 2009 at 2:12 AM, Magnus Persson <magnus.pers...@phmp.se> wrote:
> Quoting Petr Baudis <pa...@ucw.cz>:
>
>> On Mon, Dec 14, 2009 at 10:37:24PM -0800, Peter Drake wrote:
>>>
>>> It's easy to get confused -- different researchers use the terms
>>> slightly differently.
>>>
>>> They both gather data on moves other than a move made from the
>>> current board configuration. I would say that AMAF stores statistics
>>> on every move played from any position, while RAVE only stores info
>>> on moves played from descendants of the current position.
>>> Consequently, AMAF uses a global table, whereas RAVE data must be
>>> stored at every node.
>>
>> I guess that is a good definition; I assume this difference to arise
>> from the fact whether you use tree or flat MC, so for me, AMAF in tree
>> always means "from descendants of the current position". Instead, to me
>> AMAF is the data collected, while RAVE is the way to apply the data in
>> the node urgency computation (which furthermore splits to what I call
>> for myself Sylvain Gelly's RAVE vs David Silver's RAVE, of course...).
>
> This also how I have interpreting AMAF and RAVE after being confused
> initially thinking it was just two names for one thing.
>
>> I think it's because I haven't seen this approach evolve and I'm not too
>> familiar with the pre-RAVE AMAF, so perhaps I underestimate how
>> revolutionary the "descendants only" idea was.
>
> AMAF was first used with programs that did not build a tree. Perhaps this is
> why Peter Drake makes this interpretation. When I implemented AMAF in
> Valkyria it was always self evident that "descendants only" is only the only
> good way of making use of it, since search was so deep that the positions
> cannot be compared.
>
> Best
> Magnus
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