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added automimicry-effect

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This commit is contained in:
Nicole Dresselhaus 2018-06-03 16:17:31 +02:00
parent 2b7d0e6682
commit 69895ffaab
Signed by: Drezil
GPG Key ID: 057D94F356F41E25
2 changed files with 86 additions and 64 deletions
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76
app/Main.hs
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@ -25,11 +25,6 @@ pps = Enzyme "PPS" [(Substrate Phosphor,1)] ((Substrate Phosphor,-1),(Produced P
fpps :: Enzyme -- PP -> FPP
fpps = makeSimpleEnzyme (Produced PP) (Produced FPP)
-- Predator
greenfly :: Predator -- 20% of plants die to greenfly, but the fly is
greenfly = Predator [] 0.2 -- killed by any toxic Component
-- Environment
exampleEnvironment :: Int -> [Enzyme] -> [(Predator,Probability)] -> [(Compound,Amount)] -> Environment
@ -44,6 +39,10 @@ exampleEnvironment addedC es pred tox =
, maxCompound = maxCompoundWithoutGeneric + addedC
, toxicCompounds = tox --[(Produced FPP,0.1)] ++ tox
, possibleEnzymes = es -- [pps,fpps] ++ es
, settings = Settings { automimicry = True
, predatorsRandom = False
, numPlants = 150
}
}
-- Plants
@ -76,25 +75,37 @@ examplePlants = (\g -> Plant g defaultAbsorption) <$> genomes
-- ----------------------
loop :: Int -> [Plant] -> Environment -> IO ()
loop loopAmount = loop' loopAmount 0
loop loopAmount ps env = loop' loopAmount 0 ps env
where
-- cache enzyme colorful-strings
stringe :: [(Enzyme, String)]
stringe = (\e -> case Data.List.find (\(t,_) -> (t==) . fst . snd . synthesis $ e) toxins of
Just (_,toxicity) -> (e,"\ESC[38;5;" ++ show (16 + 36*5 + 6*floor (5*(1-toxicity)) + 0) ++ "m" -- yellow -> red rainbow for tocixity 0 -> 1
++ padded 50 (show (enzymeName e)) ++ "\ESC[0m")
Nothing -> (e, padded 50 (show (enzymeName e)))
) <$> possibleEnzymes env
toxins :: [(Compound, Amount)]
toxins = toxicCompounds env
padded i str = take i $ str ++ repeat ' '
printEvery = 1
loop' :: Int -> Int -> [Plant] -> Environment -> IO ()
loop' loopAmount curLoop plants e = unless (loopAmount == curLoop) $ do
when (curLoop `mod` printEvery == 0) $ do
putStr "\ESC[2J\ESC[H"
printEnvironment e
putStrLn ""
putStrLn $ "Generation " ++ show curLoop ++ " of " ++ show loopAmount ++ ":"
newPlants <- flip runReaderT e $ do
! fs <- fitness plants
! fs <- fmap (+0.01) <$> fitness plants -- fitness should be at least 0.01 for mating to work
let fps = zip plants fs -- gives us plants & their fitness in a tuple
sumFitness = sum fs
pe <- asks possibleEnzymes
tc <- asks toxicCompounds
liftIO $ printPopulation tc pe fps
when (curLoop `mod` printEvery == 0) $ do
liftIO $ printPopulation stringe fps
liftIO $ hFlush stdout
-- generate 100 new plants.
sequence . flip fmap [1..100] $ \_ -> do
-- generate x new plants.
np <- asks (numPlants . settings)
sequence . flip fmap [1..np] $ \_ -> do
parent' <- liftIO $ randomRIO (0,sumFitness)
let
-- if we only have one parent in our list, take it.
@ -107,21 +118,22 @@ loop loopAmount = loop' loopAmount 0
parent = findParent parent' fps
haploMate parent
hFlush stdout
threadDelay $ 100*1000 -- sleep 100ms
when (curLoop `mod` printEvery == 0) $ do
threadDelay $ 100*1000 -- sleep x*1000ns (=x ~ ms)
loop' loopAmount (curLoop+1) newPlants e
main :: IO ()
main = do
hSetBuffering stdin NoBuffering
hSetBuffering stdout NoBuffering
randomCompounds <- makeHead (Substrate Photosynthesis) <$> generateTreeFromList 50 (toEnum <$> [(maxCompoundWithoutGeneric+1)..] :: [Compound]) -- generate roughly x compounds
--hSetBuffering stdout NoBuffering
randomCompounds <- makeHead (Substrate Photosynthesis) <$> generateTreeFromList 30 (toEnum <$> [(maxCompoundWithoutGeneric+1)..] :: [Compound]) -- generate roughly x compounds
ds <- randoms <$> newStdGen
probs <- randomRs (0.2,0.7) <$> newStdGen
let emptyPlants = replicate 50 emptyPlant
poisonedTree = poisonTree ds randomCompounds
poisonCompounds = foldMap (\(a,b) -> [(b,a) | a > 0.5]) poisonedTree
predators <- generatePredators 0.8 poisonedTree
let poisonedTree = poisonTree ds randomCompounds
poisonCompounds = foldMap (\(a,b) -> [(b,a) | a > 0.2]) poisonedTree
predators <- generatePredators 0.5 poisonedTree
let env = exampleEnvironment (getTreeSize randomCompounds) (generateEnzymeFromTree randomCompounds) (zip predators probs) poisonCompounds
emptyPlants = replicate (numPlants . settings $ env) emptyPlant
printEnvironment env
writeFile "poison.twopi" $ generateDotFromPoisonTree "poison" 0.5 poisonedTree
putStr "\ESC[?1049h"
@ -130,14 +142,6 @@ main = do
_ <- getChar
putStr "\ESC[?1049l"
-- fitness <- runReaderT (sequence $ (\a -> do p <- absorbNutrients a >>= produceCompounds a; (,,) a p <$> deterPredators p) <$> emptyPlants) exampleEnvironment
-- mapM_ (printf "%15.15s, " . show . toEnum @Compound) [0..maxCompoundWithoutGeneric]
-- putStrLn "Fitness"
-- forM_ fitness $ \(p, c, f) -> do
-- mapM_ (printf "%15.2f, ") (toList c)
-- printf "%15.2f" f
-- putStr "\n"
generatePredators :: Double -> EnzymeTree s (Double,Compound) -> IO [Predator]
generatePredators threshold t = do
ps <- mapM generatePredators' $ getSubTrees t
@ -148,13 +152,13 @@ generatePredators threshold t = do
let comps = foldMap (\(a,b) -> [(a,b) | a > threshold]) t
amount <- randomRIO (0,length comps + 1) :: IO Int
forM [1..amount] $ \_ -> do
impact <- randomRIO (0.2,0.7)
impact <- randomRIO (0.1,0.2)
rands <- randoms <$> newStdGen
let unresists = foldMap (\((a,b),r) -> [b | r*2 < a]) $ zip comps rands
return $ Predator unresists impact
return $ Predator unresists impact 1
printEnvironment :: Environment -> IO ()
printEnvironment (Environment soil pred metaIter maxComp toxic possEnz) =
printEnvironment (Environment soil pred metaIter maxComp toxic possEnz settings) =
do
putStrLn "Environment:"
putStrLn $ "Soil: " ++ show soil
@ -162,18 +166,16 @@ printEnvironment (Environment soil pred metaIter maxComp toxic possEnz) =
putStrLn $ "PSM Iters: " ++ show metaIter
putStrLn $ "Compounds: " ++ show ((toEnum <$> [0..maxComp]) :: [Compound])
putStrLn $ "Toxic: " ++ show toxic
putStrLn $ "Settings: " ++ show settings
printPopulation :: [(Compound, Amount)] -> [Enzyme] -> [(Plant,Double)] -> IO ()
printPopulation toxins es ps = do
printPopulation :: [(Enzyme,String)] -> [(Plant,Double)] -> IO ()
printPopulation es ps = do
let padded i str = take i $ str ++ repeat ' '
putStr $ padded 50 "Population:"
forM_ ps $ \(_,f) -> putStr (printColor f '█')
putStrLn colorOff
forM_ es $ \e -> do
putStr $ case Data.List.find (\(t,_) -> (t==) . fst . snd . synthesis $ e) toxins of
Just (_,toxicity) -> "\ESC[38;5;" ++ show (16 + 36*5 + 6*floor (5*(1-toxicity)) + 0) ++ "m" -- yellow -> red rainbow for tocixity 0 -> 1
++ padded 50 (show (enzymeName e)) ++ "\ESC[0m"
Nothing -> padded 50 (show (enzymeName e))
forM_ es $ \(e,s) -> do
putStr s
forM_ ps $ \(Plant g _,_) -> do
let curE = sum $ map (\(_,q,a) -> fromIntegral q*a)
. filter (\(e',_,_) -> e == e')

64
src/Environment.hs
View File

@ -84,9 +84,19 @@ data Predator = Predator { irresistance :: [Compound]
, fitnessImpact :: Amount
-- ^ impact on the fitness of a plant
-- (~ agressiveness of the herbivore)
, numAttacks :: Amount
-- ^ Avarage number of attacks in a generation of appearance
-- (~ mean of poisson-distribution)
} deriving (Show, Eq)
-- The environment itself is just the soil and the predators. Extensions would be possible.
-- | Settings to enable/disable parts of the simulation
data Settings = Settings { automimicry :: Bool -- ^ do we have automimicry-protection?
, predatorsRandom :: Bool -- ^ do predators always appear or according to their random distribution?
, numPlants :: Int -- ^ number of plants in starting population
}
deriving (Show, Eq)
-- | The environment itself.
data Environment =
Environment
@ -108,6 +118,7 @@ data Environment =
-- Kills 100% of Predators above Amount.
, possibleEnzymes :: [Enzyme]
-- ^ All enzymes that can be created by genetic manipulation in this setting.
, settings :: Settings
} deriving (Show, Eq)
-- helper function. Allows for [0..maxCompoundWithoutGeneric] :: [Compound] with all non-generic Compounds
@ -151,23 +162,28 @@ fitness ps = do
products <- sequenceA $ zipWith produceCompounds ps nutrients -- produce compounds
ds <- liftIO $ randoms <$> newStdGen
preds <- asks predators
randPred <- asks (predatorsRandom . settings)
let
appearingPredators = fmap fst . filter (\((_,p),r) -> p > r) $ zip preds ds -- assign one probability to each predator, filter those who appear, throw random data away again.
-- appearingPredators is now a sublist of ps.
survivalRate <- mapM (deterPredators products preds) products -- defeat predators with produced compounds
appearingPredators = if randPred then
fmap (fst . fst) . filter (\((_,p),r) -> p > r) $ zip preds ds -- assign one probability to each predator, filter those who appear, throw random data away again.
-- appearingPredators is now a sublist of preds without the probability.
else
fst <$> preds -- else just forget about probabilities
automimicry <- asks (automimicry . settings)
popDefense <- if automimicry then
forM appearingPredators $ \p -> do
as <- mapM (deterPredator p) products -- how good can an individual deter p
return $ sum as / fromIntegral (length as) -- how good can the population deter p on average
else
return $ repeat 1
survivalRate <- mapM (deterPredators (zip appearingPredators popDefense)) products -- defeat predators with produced compounds
let sumEnzymes = sum . fmap (\(_,q,a) -> fromIntegral q*a) . genome <$> ps -- amount of enzymes * activation = resources "wasted"
staticCostOfEnzymes = (\x -> 1 - 0.01*x) <$> sumEnzymes -- static cost of creating enzymes
-- primaryEnzymes = filter (\(e,_,_) -> case (fst.fst.synthesis) e of -- select enzymes which use substrate
-- Substrate _ -> True
-- otherwise -> False)
-- (genome p)
nutrientsAvailable <- fmap snd <$> asks soil
let nutrientsLeft = (\p -> [p ! i | i <- [0..fromEnum (maxBound :: Nutrient)]]) <$> products
nutrientRatio = minimum . zipWith (flip (/)) nutrientsAvailable <$> nutrientsLeft
costOfEnzymes = max 0 <$> zipWith (\s n -> s-n*0.1) staticCostOfEnzymes nutrientRatio -- cost to keep enzymes are static costs + amount of nutrient sucked out of the primary cycle
return $ zipWith (*) survivalRate costOfEnzymes
-- can also be written as, but above is more clear.
-- fitness p = absorbNutrients p >>= produceCompounds p >>= deterPredators
produceCompounds :: Plant -> [(Nutrient, Amount)] -> World (Vector Amount)
produceCompounds (Plant genes _) substrate = do
@ -186,19 +202,23 @@ produceCompounds (Plant genes _) substrate = do
-- faster, because no inversions and optimized eig.
return final
-- Automimicry: see https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2275178/#__sec2title Formula 2.1
-- Note: F(D) is "costOfEnzymes", but in 'fitness' we multiply "costOfEnzymes" already,
-- so F(D) is omitted
-- A(d_hat) is ahat * numAttacks p, because ahat is only deterrence of the population
-- and does not incorporate the number of attacks, which A(d_hat) in the paper does.
deterPredators :: [(Predator, Double)] -> Vector Amount -> World Probability
deterPredators appearingPredators compounds = do
deters <- forM appearingPredators $ \(p,ahat) -> do
myDeter <- deterPredator p compounds
return $ exp $ negate $ numAttacks p * ahat * myDeter -- exp due to assumption that number of attacks are poisson-distributed.
return $ product deters
-- TODO:
-- - dampen full-force due to auto-mimicry-effect. => Fitness would not depend on single plant.
deterPredators :: [Vector Amount] -> [(Predator,Amount)] -> Vector Amount -> World Probability
deterPredators others appearingPredators cs = do
-- ps <- asks predators
ts <- asks toxicCompounds
let
deter :: Predator -> Double
-- multiply (toxicity of t with 100% effectiveness at l| for all toxins t; and t in p's irresistance-list)
deter p = product [1 - min 1 (cs ! fromEnum t / l) | (t,l) <- ts, t `elem` irresistance p]
-- multiply (probability of occurence * intensity of destruction / probability to deter predator | for all predators)
return $ product [min 1 ((1-prob) * fitnessImpact p / deter p) | (p,prob) <- appearingPredators]
deterPredator :: Predator -> Vector Amount -> World Double
deterPredator p comps = do
toxins <- asks toxicCompounds
return $ product [1 - min 1 (comps ! fromEnum t * l) | (t,l) <- toxins, t `elem` irresistance p]
-- Mating & Creation of diversity
-- ------------------------------