Published 2015 | Version v1
Journal article

A Higher-Order Characterization of Probabilistic Polynomial Time

Description

We present RSLR, an implicit higher-order characterization of the class PP of those problems which can be decided in probabilistic polynomial time with error probability smaller than 1 /2. Analogously, a (less implicit) characterization of the class BPP can be obtained. RSLR is an extension of Hofmann's SLR with a probabilistic primitive, which enjoys basic properties such as subject reduction and confluence. Polynomial time soundness of RSLR is obtained by syntactical means, as opposed to the standard literature on SLR-derived systems, which use semantics in an essential way.

Abstract

International audience

Additional details

Created:
March 25, 2023
Modified:
November 30, 2023