From Enhanced Coinduction towards Enhanced InductionRemote
There exist a rich and well-developed theory of enhancements of the coinduction proof method, widely used on behavioural relations such as bisimilarity. We study how to develop an analogous theory for inductive behaviour relations, i.e., relations defined from inductive observables. Similarly to the coinductive setting, our theory makes use of (semi)-progressions of the form R->F(R), where R is a relation on processes and F is a function on relations, meaning that there is an appropriate match on the transitions that the processes in R can perform in which the derivatives are in F(R). For a given preorder, an enhancement corresponds to a function sound, i.e., one for which R->F(R) implies that R is contained in the preorder; and similarly for equivalences. We introduce weights on the observables of an inductive relation, and a weight-preserving condition on functions that guarantees soundness. We show that the class of weight-preserving functions contains non-trivial functions and enjoys closure properties with respect to desirable function constructors, so to be able to derive sophisticated sound functions (and hence sophisticated proof techniques) from simpler ones. We consider both strong semantics (in which all actions are treated equally) and weak semantics (in which one abstracts from internal transitions). We test our enhancements on a few non-trivial examples.
Fri 21 JanDisplayed time zone: Eastern Time (US & Canada) change
10:20 - 12:00 | |||
10:20 25mResearch paper | From Enhanced Coinduction towards Enhanced InductionRemote POPL Davide Sangiorgi University of Bologna; Inria DOI Media Attached | ||
10:45 25mResearch paper | A Fine-Grained Computational Interpretation of Girard’s Intuitionistic Proof-NetsInPerson POPL Delia Kesner Université de Paris; CNRS; IRIF; Institut Universitaire de France DOI Media Attached | ||
11:10 25mResearch paper | Fully Abstract Models for Effectful λ-Calculi via Category-Theoretic Logical RelationsRemote POPL Ohad Kammar University of Edinburgh, Shin-ya Katsumata National Institute of Informatics, Philip Saville University of Oxford DOI Media Attached | ||
11:35 25mResearch paper | Layered and Object-Based Game SemanticsInPerson POPL Arthur Oliveira Vale Yale University, Paul-André Melliès CNRS; Université de Paris, Zhong Shao Yale University, Jérémie Koenig Yale University, Leo Stefanesco IRIF, University Paris Diderot & CNRS DOI Media Attached |