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battle_calcs: do not use variance of attack in attack rating

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This was an idea we tried so that we’d start with the most uncertain
attack first, but it did not work very well.
Keep the code for now, just comment it out.
This commit is contained in:
mattsc 2014-04-30 19:06:57 -07:00
parent 0218b88180
commit 7623c5513a
1 changed files with 15 additions and 13 deletions
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28
data/ai/lua/battle_calcs.lua
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@ -975,24 +975,26 @@ function battle_calcs.attack_combo_stats(tmp_attackers, tmp_dsts, defender, cach
-- But for combos, also want units with highest attack outcome uncertainties to go early
-- So that we can change our mind in case of unfavorable outcome
local outcome_variance = 0
local av = tmp_def_stats[i].average_hp
local n_outcomes = 0
--local outcome_variance = 0
--local av = tmp_def_stats[i].average_hp
--local n_outcomes = 0
for hp,prob in pairs(tmp_def_stats[i].hp_chance) do
if (prob > 0) then
local dhp_norm = (hp - av) / defender.max_hitpoints * wesnoth.unit_types[defender.type].cost
local dvar = prob * dhp_norm^2
outcome_variance = outcome_variance + dvar
n_outcomes = n_outcomes + 1
end
end
outcome_variance = outcome_variance / n_outcomes
--for hp,p in pairs(tmp_def_stats[i].hp_chance) do
-- if (p > 0) then
-- local dhp_norm = (hp - av) / defender.max_hitpoints * wesnoth.unit_types[defender.type].cost
-- local dvar = p * dhp_norm^2
--print(hp,p,av, dvar)
-- outcome_variance = outcome_variance + dvar
-- n_outcomes = n_outcomes + 1
-- end
--end
--outcome_variance = outcome_variance / n_outcomes
--print('outcome_variance', outcome_variance)
-- Note that this is a variance, not a standard deviations (as in, it's squared),
-- so it does not matter much for low-variance attacks, but takes on large values for
-- high variance attacks. I think that is what we want.
local rating = base_rating + outcome_variance
local rating = base_rating --+ outcome_variance
-- If attacker has attack with 'slow' special, it should always go first
-- Almost, bonus should not be quite as high as a really high CTK