Object

axle.game

Strategies

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object Strategies

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. def _alphabeta[G, S, O, M, MS, MM, N](game: G, state: S, depth: Int, cutoff: Map[Player, N], heuristic: (S) ⇒ Map[Player, N])(implicit arg0: Order[N], evGame: Game[G, S, O, M, MS, MM]): (M, Map[Player, N])

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  5. def aiMover[G, S, O, M, MS, MM, N](lookahead: Int, heuristic: (S) ⇒ Map[Player, N])(implicit arg0: Order[N], evGame: Game[G, S, O, M, MS, MM]): (G, S) ⇒ Distribution0[M, Rational]

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  6. def alphabeta[G, S, O, M, MS, MM, N](game: G, state: S, depth: Int, heuristic: (S) ⇒ Map[Player, N])(implicit arg0: Order[N], evGame: Game[G, S, O, M, MS, MM]): (M, Map[Player, N])

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    α-β pruning generalized for N-player non-zero-sum games

    α-β pruning generalized for N-player non-zero-sum games

    2-player zero-sum version described at:

    http://en.wikipedia.org/wiki/Alpha-beta_pruning

  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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  9. implicit val distDouble: Dist[Rational]

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  10. final def eq(arg0: AnyRef): Boolean

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  11. def equals(arg0: Any): Boolean

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  12. def finalize(): Unit

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  13. final def getClass(): Class[_]

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  14. def hardCodedStringStrategy[G, S, O, M, MS, MM](input: (G, MS) ⇒ String)(implicit evGame: Game[G, S, O, M, MS, MM], evGameIO: GameIO[G, O, M, MS, MM]): (G, MS) ⇒ Distribution0[M, Rational]

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  15. def hashCode(): Int

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  16. def interactiveMove[G, S, O, M, MS, MM](implicit evGame: Game[G, S, O, M, MS, MM], evGameIO: GameIO[G, O, M, MS, MM]): (G, MS) ⇒ Distribution0[M, Rational]

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  17. final def isInstanceOf[T0]: Boolean

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  18. def minimax[G, S, O, M, MS, MM, N](game: G, state: S, depth: Int, heuristic: (S) ⇒ Map[Player, N])(implicit arg0: Order[N], evGame: Game[G, S, O, M, MS, MM]): (M, S, Map[Player, N])

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  19. final def ne(arg0: AnyRef): Boolean

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  20. final def notify(): Unit

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  21. final def notifyAll(): Unit

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  22. def outcomeRingHeuristic[G, S, O, M, MS, MM, N](game: G, f: (O, Player) ⇒ N)(implicit arg0: Ring[N], evGame: Game[G, S, O, M, MS, MM]): (S) ⇒ Map[Player, N]

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  23. def randomMove[G, S, O, M, MS, MM](implicit evGame: Game[G, S, O, M, MS, MM]): (G, MS) ⇒ Distribution0[M, Rational]

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  24. final def synchronized[T0](arg0: ⇒ T0): T0

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  25. def toString(): String

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  26. def userInputStream(display: (String) ⇒ Unit, read: () ⇒ String): Stream[String]

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  27. final def wait(): Unit

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  28. final def wait(arg0: Long, arg1: Int): Unit

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  29. final def wait(arg0: Long): Unit

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