dumb error in fitness-function
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14
app/Main.hs
14
app/Main.hs
@ -38,7 +38,7 @@ exampleEnvironment addedC es pred tox =
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, maxCompound = maxCompoundWithoutGeneric + addedC
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, toxicCompounds = tox --[(Produced FPP,0.1)] ++ tox
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, possibleEnzymes = es -- [pps,fpps] ++ es
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, settings = Settings { automimicry = False
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, settings = Settings { automimicry = True
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, predatorsRandom = False
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, numPlants = 150
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}
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@ -88,7 +88,6 @@ loop loopAmount ps env = loop' loopAmount 0 ps env
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toxins = toxicCompounds env
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padded i str = take i $ str ++ repeat ' '
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printEvery = 10
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addedConstFitness = 0.1
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loop' :: Int -> Int -> [Plant] -> Environment -> IO ()
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loop' loopAmount curLoop plants e = unless (loopAmount+1 == curLoop) $ do
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when (curLoop `mod` printEvery == 0) $ do
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@ -97,7 +96,7 @@ loop loopAmount ps env = loop' loopAmount 0 ps env
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putStrLn ""
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putStrLn $ "Generation " ++ show curLoop ++ " of " ++ show loopAmount ++ ":"
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newPlants <- flip runReaderT e $ do
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(!fs,cs) <- unzip . fmap (\(f,c) -> (f,c)) <$> fitness plants
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(!fs,cs) <- unzip <$> fitness plants
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let fps = zip plants fs -- gives us plants & their fitness in a tuple
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sumFitness = sum fs
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when (curLoop `mod` printEvery == 0) $ liftIO $ do
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@ -126,16 +125,16 @@ main :: IO ()
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main = do
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hSetBuffering stdin NoBuffering
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--hSetBuffering stdout NoBuffering
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randomCompounds <- makeHead (Substrate PPM) <$> generateTreeFromList 20 (toEnum <$> [(maxCompoundWithoutGeneric+1)..] :: [Compound]) -- generate roughly x compounds
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randomCompounds <- makeHead (Substrate PPM) <$> generateTreeFromList 40 (toEnum <$> [(maxCompoundWithoutGeneric+1)..] :: [Compound]) -- generate roughly x compounds
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ds <- randoms <$> newStdGen
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probs <- randomRs (0.2,0.7) <$> newStdGen
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let poisonedTree = poisonTree ds randomCompounds
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poisonCompounds = foldMap (\(a,b) -> [(b,a) | a > 0.2]) poisonedTree
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poisonCompounds = foldMap (\(a,b) -> [(b,a) | a > 0.5]) poisonedTree
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predators <- generatePredators 0.5 poisonedTree
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let env = exampleEnvironment (getTreeSize randomCompounds) (generateEnzymeFromTree randomCompounds) (zip predators probs) poisonCompounds
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emptyPlants = replicate (numPlants . settings $ env) emptyPlant
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enzs <- randomRs (0,length (possibleEnzymes env) - 1) <$> newStdGen
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let startPlants = randomGenome 10 enzs (possibleEnzymes env) emptyPlants
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let startPlants = randomGenome 1 enzs (possibleEnzymes env) emptyPlants
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printEnvironment env
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writeFile "poison.twopi" $ generateDotFromPoisonTree "poison" 0.5 poisonedTree
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putStr "\ESC[?1049h"
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@ -221,3 +220,6 @@ generateEnzymeFromTree t = (makeSimpleEnzyme c . getElement <$> sts)
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where
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c = getElement t
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sts = getSubTrees t
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stepDebug a = liftIO $ print a >> void getChar
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@ -175,14 +175,14 @@ fitness ps = do
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return $ repeat 1
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dieRate <- mapM (dieToPredators (zip appearingPredators popDefense)) products -- defeat predators with produced compounds
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let sumEnzymes = sum . fmap (\(_,q,a) -> fromIntegral q*a) . genome <$> ps -- amount of enzymes * activation = resources "wasted"
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staticCostOfEnzymes = (\x -> 1 - 0.01*x) <$> sumEnzymes -- static cost of creating enzymes
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staticCostOfEnzymes = (\x -> 1 - 0.02*x) <$> sumEnzymes -- static cost of creating enzymes
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nutrientsAvailable <- fmap snd <$> asks soil
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let nutrientsLeft = (\p -> [p ! i | i <- [0..fromEnum (maxBound :: Nutrient)]]) <$> products
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nutrientRatio = minimum . zipWith (flip (/)) nutrientsAvailable <$> nutrientsLeft
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costOfEnzymes = max 0 <$> zipWith (\s n -> s-n*0.01) staticCostOfEnzymes nutrientRatio -- cost to keep enzymes are static costs + amount of nutrient sucked out of the primary cycle
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costOfEnzymes = max 0 <$> 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
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survivalRate = (1-) <$> dieRate
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return $ (,) <$> zipWith (*) survivalRate costOfEnzymes
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<*> products
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return $ zip (zipWith (*) survivalRate costOfEnzymes)
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(products)
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produceCompounds :: Plant -> [(Nutrient, Amount)] -> World (Vector Amount)
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produceCompounds (Plant genes _) substrate = do
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@ -210,9 +210,10 @@ dieToPredators :: [(Predator, Double)] -> Vector Amount -> World Probability
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dieToPredators [] _ = return 0 -- if no predator, no dying.
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dieToPredators appearingPredators compounds = do
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deters <- forM appearingPredators $ \(p,ahat) -> do
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myDeter <- dieToPredator p compounds
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return $ ahat * myDeter -- exp due to assumption that number of attacks are poisson-distributed.
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return $ product deters
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myDieRate <- dieToPredator p compounds
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return $ exp $ -(ahat*numAttacks p) * myDieRate -- exp due to assumption that number of attacks are poisson-distributed.
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-- myDieRate = 1 - Survival = 1 - S(D) in the paper
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return $ 1 - product deters
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dieToPredator :: Predator -> Vector Amount -> World Double
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