Publication | Closed Access
A linguistic characterization of bounded oracle computation and probabilistic polynomial time
69
Citations
14
References
2002
Year
Unknown Venue
Bounded Oracle ComputationEngineeringType TheoryComputational ComplexityProbabilistic ComputationSemanticsFormal VerificationSyntaxDependently Typed ProgrammingComputational LinguisticsDescriptional ComplexityLanguage StudiesHigher-order Functional NotationKolmogorov ComplexityLinguistic CharacterizationComputer ScienceType SystemFunctional Programming LanguageAutomated ReasoningProgram AnalysisFormal MethodsProbabilistic Polynomial TimeLambda CalculusKnowledge CompilationLinguisticsComputational Semantics
We present a higher-order functional notation for polynomial-time computation with an arbitrary 0, 1-valued oracle. This formulation provides a linguistic characterization for classes such as NP and BPP, as well as a notation for probabilistic polynomial-time functions. The language is derived from Hofmann's adaptation of Bellantoni-Cook safe recursion, extended to oracle computation via work derived from that of Kapron and Cook. Like Hofmann's language, ours is an applied typed lambda calculus with complexity bounds enforced by a type system. The type system uses a modal operator to distinguish between two sorts of numerical expressions. Recursion can take place on only one of these sorts. The proof that the language captures precisely oracle polynomial time is model-theoretic, using adaptations of various techniques from category theory.
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