Le 04/02/2011 14:48, Stefan Kaitschick a écrit :
Am 04.02.2011 14:36, schrieb Robert Lupton the Good:
Actually that's the Entropy, S; Enthalpy is E - PV (energy corrected
for pressure work).
If you are interested in thermodynamic analogues, the Helmholtz free
energy (E - TS) might be an
Am 05.02.2011 12:50, schrieb Alain Baeckeroot:
Le 04/02/2011 14:48, Stefan Kaitschick a écrit :
Am 04.02.2011 14:36, schrieb Robert Lupton the Good:
Actually that's the Entropy, S; Enthalpy is E - PV (energy corrected
for pressure work).
If you are interested in thermodynamic analogues, the
Le 05/02/2011 15:17, Stefan Kaitschick a écrit :
You really mean enthalpy?
I thought entropy of information was more applicable here than enthalpy
of formation. :-)
(i don't get your joke, but this due to my poor english understanding :) )
Yes i mean (as Nick did) enthalpy
Temperature of
Yes i mean (as Nick did) enthalpy
Nick's formula is entropy. The enthalpy formula is very different.
Nick's information-gathering analogy is also apt: by collecting trials that
have greater entropy your search is collecting more information. This leads
directly to a theory of why dynamic komi
The crux is it is gathering it more than twice as fast, which should
more than compensate, which is debatable. Infinitely more
information may not be enough if you are measuring the wrong thing.
On Fri, Feb 4, 2011 at 8:02 AM, Nick Wedd n...@maproom.co.uk wrote:
In a Monte-Carlo program, the
Actually that's the Entropy, S; Enthalpy is E - PV (energy corrected for
pressure work).
If you are interested in thermodynamic analogues, the Helmholtz free energy (E
- TS) might be an interesting concept if you can assign meanings to temperature
and energy, as well as Shannon's Entropy.
Shannon's entropy can also be called information. That translates your argument
to you collect more information when the win rate is closer to 50%.
Such arguments can be used in support of both dynamic Komi and simulation
balancing. I'm not sure how far the argument can be taken, but that's
IIRC, Hendrik Baier's master thesis shows an experiment conducted using
Orego that establishes that Dynamic Komi improved Orego's results against
GnuGo. These are non-handicap games.
I recall that others have reported the same thing (that dynamic komi helps
even in non-handicap games).
IMO,
