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  • 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
  • object Subst
    Definition Classes
    provingground
  • Lambda

object Lambda extends Serializable

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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. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
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  6. final def eq(arg0: AnyRef): Boolean
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  7. def equals(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. final def isInstanceOf[T0]: Boolean
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  11. final def ne(arg0: AnyRef): Boolean
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  12. final def notify(): Unit
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  13. final def notifyAll(): Unit
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  14. implicit def substInstance[T <: Term with Subs[T], A](implicit s: Subst[A]): Subst[Lambda[T, A]]
  15. final def synchronized[T0](arg0: => T0): T0
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  16. def toString(): String
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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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  1. def finalize(): Unit
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