Packages

  • package root
    Definition Classes
    root
  • package provingground

    This is work towards automated theorem proving based on learning, using homotopy type theory (HoTT) as foundations and natural language processing.

    This is work towards automated theorem proving based on learning, using homotopy type theory (HoTT) as foundations and natural language processing.

    The implementation of homotopy type theory is split into:

    • the object HoTT with terms, types, functions and dependent functions, pairs etc
    • the package induction with general inductive types and recursion/induction on these.

    The learning package has the code for learning.

    Scala code, including the spire library, is integrated with homotopy type theory in the scalahott package

    We have implemented a functor based approach to translation in the translation package, used for nlp as well as serialization and parsing.

    The library package is contains basic structures implemented in HoTT.

    Definition Classes
    root
  • package andrewscurtis
    Definition Classes
    provingground
  • object SimpleAcEvolution

    Definition Classes
    andrewscurtis
  • Path
  • PickledPath
  • PickledState
  • State

object Path extends Serializable

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  1. final def !=(arg0: Any): Boolean
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  3. final def ==(arg0: Any): Boolean
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  5. def clone(): AnyRef
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  6. final def eq(arg0: AnyRef): Boolean
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  8. final def getClass(): Class[_ <: AnyRef]
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  9. def hashCode(): Int
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  10. def init(rank: Int, steps: Int, wordCntn: Double = 0.5, size: Double = 1000, scale: Double = 1.0, id: String = "ephemeral"): Path
  11. final def isInstanceOf[T0]: Boolean
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  12. final def ne(arg0: AnyRef): Boolean
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  13. final def notify(): Unit
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  15. final def synchronized[T0](arg0: => T0): T0
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  17. final def wait(arg0: Long, arg1: Int): Unit
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  18. final def wait(arg0: Long): Unit
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  19. final def wait(): Unit
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