smcdel-1.1.0: src/SMCDEL/Translations/S5.hs
module SMCDEL.Translations.S5 where
import Control.Arrow (second)
import Data.HasCacBDD hiding (Top,Bot)
import Data.List (groupBy,sort,(\\),elemIndex,intersect,nub)
import Data.Maybe (listToMaybe)
import SMCDEL.Language
import SMCDEL.Symbolic.S5
import SMCDEL.Explicit.S5
import SMCDEL.Internal.Help (anydiffWith,alldiff,alleqWith,apply,powerset,(!),seteq,subseteq)
import SMCDEL.Other.BDD2Form
type StateMap = World -> State
equivalentWith :: PointedModelS5 -> KnowScene -> StateMap -> Bool
equivalentWith (KrMS5 ws rel val, actw) (kns@(KnS _ _ obs), curs) g =
c1 && c2 && c3 && g actw == curs where
c1 = all (\l -> knsLink l == kriLink l) linkSet where
linkSet = nub [ (i,w1,w2) | w1 <- ws, w2 <- ws, w1 <= w2, i <- map fst rel ]
knsLink (i,w1,w2) = let oi = obs ! i in (g w1 `intersect` oi) `seteq` (g w2 `intersect` oi)
kriLink (i,w1,w2) = any (\p -> w1 `elem` p && w2 `elem` p) (rel ! i)
c2 = and [ (p `elem` g w) == ((val ! w) ! p) | w <- ws, p <- map fst (snd $ head val) ]
c3 = statesOf kns `seteq` nub (map g ws)
findStateMap :: PointedModelS5 -> KnowScene -> Maybe StateMap
findStateMap pm@(KrMS5 _ _ val, w) scn@(kns, s)
| vocabOf pm `subseteq` vocabOf kns = listToMaybe goodMaps
| otherwise = error "vocabOf pm not subseteq vocabOf kns"
where
extraProps = vocabOf kns \\ vocabOf pm
allFuncs :: Eq a => [a] -> [b] -> [a -> b]
allFuncs [] _ = [ const undefined ]
allFuncs (x:xs) ys = [ \a -> if a == x then y else f a | y <- ys, f <- allFuncs xs ys ]
allMaps, goodMaps :: [StateMap]
baseMap = map fst . filter snd . (val !)
allMaps = [ \v -> baseMap v ++ restf v | restf <- allFuncs (worldsOf pm) (powerset extraProps) ]
goodMaps = filter (\g -> g w == s && equivalentWith pm scn g) allMaps
knsToKripke :: KnowScene -> PointedModelS5
knsToKripke = fst . knsToKripkeWithG
knsToKripkeWithG :: KnowScene -> (PointedModelS5, StateMap)
knsToKripkeWithG (kns@(KnS ps _ obs),currentState) =
((KrMS5 worlds rel val, cur), g) where
g w = statesOf kns !! w
lav = zip (statesOf kns) [0..(length (statesOf kns)-1)]
val = map ( \(s,n) -> (n,state2kripkeass s) ) lav where
state2kripkeass s = map (\p -> (p, p `elem` s)) ps
rel = [(i,rfor i) | i <- map fst obs]
rfor i = map (map snd) (groupBy ( \ (x,_) (y,_) -> x==y ) (sort pairs)) where
pairs = map (\s -> (s `intersect` (obs ! i), lav ! s)) (statesOf kns)
worlds = map snd lav
cur | currentState `elem` statesOf kns = lav ! currentState
| otherwise = error "knsToKripke failed: Invalid state."
knsToKripkeMulti :: MultipointedKnowScene -> MultipointedModelS5
knsToKripkeMulti (kns,statesBdd) = (m, ws) where
((m,_),g) = knsToKripkeWithG (kns,undefined) -- FIXME uh oh
ws = filter (\w -> evaluateFun statesBdd (\k -> P k `elem` g w)) (worldsOf m)
kripkeToKns :: PointedModelS5 -> KnowScene
kripkeToKns = fst . kripkeToKnsWithG
kripkeToKnsWithG :: PointedModelS5 -> (KnowScene, StateMap)
kripkeToKnsWithG (KrMS5 worlds rel val, cur) = ((KnS ps law obs, curs), g) where
v = map fst (val ! cur)
ags = map fst rel
newpstart = fromEnum $ freshp v -- start counting new propositions here
amount i = ceiling (logBase 2 (fromIntegral $ length (rel ! i)) :: Float) -- = |O_i|
newpstep = maximum [ amount i | i <- ags ]
newps i = map (\k -> P (newpstart + (newpstep * inum) +k)) [0..(amount i - 1)] -- O_i
where (Just inum) = elemIndex i (map fst rel)
copyrel i = zip (rel ! i) (powerset (newps i)) -- label equiv.classes with P(O_i)
gag i w = snd $ head $ filter (\(ws,_) -> w `elem` ws) (copyrel i)
g w = filter (apply (val ! w)) v ++ concat [ gag i w | i <- ags ]
ps = v ++ concat [ newps i | i <- ags ]
law = disSet [ booloutof (g w) ps | w <- worlds ]
obs = [ (i,newps i) | i<- ags ]
curs = sort $ g cur
booloutof :: [Prp] -> [Prp] -> Bdd
booloutof ps qs = conSet $
[ var n | (P n) <- ps ] ++
[ neg $ var n | (P n) <- qs \\ ps ]
uniqueVals :: KripkeModelS5 -> Bool
uniqueVals (KrMS5 _ _ val) = alldiff (map snd val)
-- | Get lists of variables which agent i does (not) observe
-- in model m. This does *not* preserve all information, i.e.
-- does not characterize every possible S5 relation!
obsnobs :: KripkeModelS5 -> Agent -> ([Prp],[Prp])
obsnobs m@(KrMS5 _ rel val) i = (obs,nobs) where
propsets = map (map (map fst . filter snd . apply val)) (apply rel i)
obs = filter (\p -> all (alleqWith (elem p)) propsets) (vocabOf m)
nobs = filter (\p -> any (anydiffWith (elem p)) propsets) (vocabOf m)
-- | Test if all relations can be described using observariables.
descableRels :: KripkeModelS5 -> Bool
descableRels m@(KrMS5 ws rel val) = all descable (map fst rel) where
wpairs = [ (v,w) | v <- ws, w <- ws ]
descable i = cover && correct where
(obs,nobs) = obsnobs m i
cover = sort (vocabOf m) == sort (obs ++ nobs) -- implies disjointness
correct = all (\pair -> oldrel pair == newrel pair) wpairs
oldrel (v,w) = v `elem` head (filter (elem w) (apply rel i))
newrel (v,w) = (factsAt v `intersect` obs) == (factsAt w `intersect` obs)
factsAt w = map fst $ filter snd $ apply val w
-- | Try to find an equivalent knowledge structure without
-- additional propositions. Will succeed iff valuations are
-- unique and relations can be described using observariables.
smartKripkeToKns :: PointedModelS5 -> Maybe KnowScene
smartKripkeToKns (m, cur) =
if uniqueVals m && descableRels m
then Just (smartKripkeToKnsWithoutChecks (m, cur))
else Nothing
smartKripkeToKnsWithoutChecks :: PointedModelS5 -> KnowScene
smartKripkeToKnsWithoutChecks (m@(KrMS5 worlds rel val), cur) =
(KnS ps law obs, curs) where
ps = vocabOf m
g w = filter (apply (apply val w)) ps
law = disSet [ booloutof (g w) ps | w <- worlds ]
obs = map (\(i,_) -> (i,obsOf i) ) rel
obsOf = fst.obsnobs m
curs = map fst $ filter snd $ apply val cur
actionToEvent :: PointedActionModelS5 -> Event
actionToEvent (ActMS5 acts actrel, faction) = (KnTrf addprops addlaw changelaw addobs, efacts) where
actions = map fst acts
ags = map fst actrel
addprops = actionprops ++ actrelprops
(P fstnewp) = freshp . propsInForms $ concat [ pre : map snd posts | (_,(pre,posts)) <- acts] -- avoid props in pre- and postconditions
actionprops = [P fstnewp..P maxactprop] -- new props to distinguish all actions
maxactprop = fstnewp + ceiling (logBase 2 (fromIntegral $ length actions) :: Float) -1
actpropsRel = zip actions (powerset actionprops)
ell = apply actpropsRel -- label actions with subsets of actionprops
happens a = booloutofForm (ell a) actionprops -- boolean formula to say that a happens
actform = Disj [ Conj [ happens a, pre ] | (a,(pre,_)) <- acts ] -- connect new propositions to preconditions
actrelprops = concat [ newps i | i <- ags ] -- new props to distinguish actions for i
actrelpstart = maxactprop + 1
newps i = map (\k -> P (actrelpstart + (newpstep * inum) +k)) [0..(amount i - 1)]
where (Just inum) = elemIndex i (map fst actrel)
amount i = ceiling (logBase 2 (fromIntegral $ length (apply actrel i)) :: Float)
newpstep = maximum [ amount i | i <- ags ]
copyactrel i = zip (apply actrel i) (powerset (newps i)) -- label equclasses-of-actions with subsets-of-newps
actrelfs i = [ Equi (booloutofForm (apply (copyactrel i) as) (newps i)) (Disj (map happens as)) | as <- apply actrel i ]
actrelforms = concatMap actrelfs ags
factsFor i = snd $ head $ filter (\(as,_) -> faction `elem` as) (copyactrel i)
efacts = ell faction ++ concatMap factsFor ags
addlaw = simplify $ Conj (actform : actrelforms)
changeprops = sort $ nub $ concatMap (\(_,(_,posts)) -> map fst posts) acts -- propositions to be changed
changelaw = [ (p, changeFor p) | p <- changeprops ] -- encode postconditions
changeFor p = disSet [ boolBddOf $ Conj [ happens a, safepost posts p ] | (a,(_,posts)) <- acts ]
addobs = [ (i,newps i) | i<- ags ]
eventToAction' :: Event -> PointedActionModelS5
eventToAction' event@(KnTrf addprops addlaw changelaw addobs, efacts) = (ActMS5 acts actrel, faction) where
actlist = zip (powerset addprops) [0..(2 ^ length addprops - 1)]
acts = [ (a, (simplify $ preFor ps, postsFor ps)) | (ps,a) <- actlist ] where
preFor ps = substitSet (zip ps (repeat Top) ++ zip (addprops\\ps) (repeat Bot)) addlaw
postsFor ps =
[ (q, formOf $ restrictSet (changelaw ! q) [(p, P p `elem` ps) | (P p) <- addprops]) | q <- map fst changelaw ]
actrel = [(i,rFor i) | i <- agentsOf event] where
rFor i = map (map snd) (groupBy ( \ (x,_) (y,_) -> x==y ) (pairs i))
pairs i = sort $ map (\(set,a) -> (intersect set $ addobs ! i,a)) actlist
faction = apply actlist efacts
eventToAction :: Event -> PointedActionModelS5
eventToAction e = (ActMS5 acts actrel, faction) where
(ActMS5 acts' actrel', faction) = eventToAction' e
acts = filter (\(_,(pre,_)) -> pre /= Bot) acts' -- remove actions w/ contradictory precon
actrel = map (second restrictRel) actrel' where
restrictRel r = filter ([]/=) $ map (filter (`elem` map fst acts)) r