Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
97 tokens/sec
GPT-4o
53 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

On Probabilistic Applicative Bisimulation and Call-by-Value $λ$-Calculi (Long Version) (1401.3766v2)

Published 15 Jan 2014 in cs.LO

Abstract: Probabilistic applicative bisimulation is a recently introduced coinductive methodology for program equivalence in a probabilistic, higher-order, setting. In this paper, the technique is applied to a typed, call-by-value, lambda-calculus. Surprisingly, the obtained relation coincides with context equivalence, contrary to what happens when call-by-name evaluation is considered. Even more surprisingly, full-abstraction only holds in a symmetric setting.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (2)
  1. Ugo Dal Lago (90 papers)
  2. Raphaelle Crubille (1 paper)
Citations (48)

Summary

We haven't generated a summary for this paper yet.