Fuzzy Logic / Linguistic Variables
So i was reading "Programming Game AI by Example" by Mat Buckland (http://www.ai-junkie.com/books/toc_pgaibe.html) and decided to rewrite his chapter on Fuzzy logic in haskell (from C++). My initial impression: its one of those scenarios where OOP grossly over complicates things Heres an example taken from the book: An agent needs to decide what weapon to use based on his distance from the target and the amount of ammo each has. The result is in the desirability domain (0-100). http://code.haskell.org/~hexpuem/fuzzyLogic/AI/Logic/Fuzzy/Example.hs An excerpt: ------------------------------------ weapons = [ Weapon "RocketLauncher" 9 rocketLauncher, Weapon "ShotGun" 13 shotgun, Weapon "AssaultRifle" 120 assaultRifle, Weapon "SniperRifle" 7 sniperRifle, Weapon "Knife" 1 knife ] chooseWeapon dist = maximum ratings where ratings = [ (f dist ammo, n) | Weapon n ammo f <- weapons ] ------------------------------------ shotgun :: Double -> Double -> Double shotgun dist ammo = unfuzz desireDom $ rules (fuzz distDom dist) (fuzz ammoDom ammo) where rules :: Fuzzy Distances -> Fuzzy Ammo -> FL Desirability rules distance ammo = do distance `is` SniperSuited =>> Pointless distance `is` Far =>> Undesirable distance `is` Medium =>> Undesirable distance `is` Melee =>> Undesirable (distance `fairly` Near) & (ammo `fairly` High) =>> VeryDesirable (distance `fairly` Near) & (ammo `fairly` Good) =>> Desirable (distance `fairly` Near) & (ammo `is` Low) =>> Undesirable ------------------------------------ Full code at http://code.haskell.org/~hexpuem/fuzzyLogic/. Suggestions welcome - maybe it'd be useful to upload to hackage at some point. It only supports triangle, shoulder, and singleton memberships at the moment.
I didn't read the book, but your code seems very elegant, more than I even
thought possible. I've never programmed with fuzzy logic before, but I can
understand your code - it reads naturally.
Fernando Henrique Sanches
On Wed, Oct 14, 2009 at 9:59 AM, Neal Alexander
So i was reading "Programming Game AI by Example" by Mat Buckland ( http://www.ai-junkie.com/books/toc_pgaibe.html) and decided to rewrite his chapter on Fuzzy logic in haskell (from C++).
My initial impression: its one of those scenarios where OOP grossly over complicates things
Heres an example taken from the book: An agent needs to decide what weapon to use based on his distance from the target and the amount of ammo each has. The result is in the desirability domain (0-100).
http://code.haskell.org/~hexpuem/fuzzyLogic/AI/Logic/Fuzzy/Example.hshttp://code.haskell.org/%7Ehexpuem/fuzzyLogic/AI/Logic/Fuzzy/Example.hs
An excerpt:
------------------------------------
weapons = [ Weapon "RocketLauncher" 9 rocketLauncher, Weapon "ShotGun" 13 shotgun, Weapon "AssaultRifle" 120 assaultRifle, Weapon "SniperRifle" 7 sniperRifle, Weapon "Knife" 1 knife ]
chooseWeapon dist = maximum ratings where ratings = [ (f dist ammo, n) | Weapon n ammo f <- weapons ]
------------------------------------
shotgun :: Double -> Double -> Double shotgun dist ammo =
unfuzz desireDom $ rules (fuzz distDom dist) (fuzz ammoDom ammo)
where
rules :: Fuzzy Distances -> Fuzzy Ammo -> FL Desirability rules distance ammo = do
distance `is` SniperSuited =>> Pointless distance `is` Far =>> Undesirable distance `is` Medium =>> Undesirable distance `is` Melee =>> Undesirable
(distance `fairly` Near) & (ammo `fairly` High) =>> VeryDesirable (distance `fairly` Near) & (ammo `fairly` Good) =>> Desirable (distance `fairly` Near) & (ammo `is` Low) =>> Undesirable
------------------------------------
Full code at http://code.haskell.org/~hexpuem/fuzzyLogic/http://code.haskell.org/%7Ehexpuem/fuzzyLogic/ .
Suggestions welcome - maybe it'd be useful to upload to hackage at some point.
It only supports triangle, shoulder, and singleton memberships at the moment.
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participants (2)
-
Fernando Henrique Sanches -
Neal Alexander