Relating Structure and Power: Comonadic Semantics for Computational Resources - Coalgebraic Methods in Computer Science
Conference Papers Year : 2018

Relating Structure and Power: Comonadic Semantics for Computational Resources

Samson Abramsky
  • Function : Author
  • PersonId : 1043042
Nihil Shah
  • Function : Author
  • PersonId : 1043043

Abstract

Combinatorial games are widely used in finite model theory, constraint satisfaction, modal logic and concurrency theory to characterize logical equivalences between structures. In particular, Ehrenfeucht-Fraïssé games, pebble games, and bisimulation games play a central role. We show how each of these types of games can be described in terms of an indexed family of comonads on the category of relational structures and homomorphisms. The index k is a resource parameter which bounds the degree of access to the underlying structure. The coKleisli categories for these comonads can be used to give syntax-free characterizations of a wide range of important logical equivalences. Moreover, the coalgebras for these indexed comonads can be used to characterize key combinatorial parameters: tree-depth for the Ehrenfeucht-Fraïssé comonad, tree-width for the pebbling comonad, and synchronization-tree depth for the modal unfolding comonad. These results pave the way for systematic connections between two major branches of the field of logic in computer science which hitherto have been almost disjoint: categorical semantics, and finite and algorithmic model theory.
Fichier principal
Vignette du fichier
473364_1_En_1_Chapter.pdf (220.96 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-02044639 , version 1 (21-02-2019)

Licence

Identifiers

Cite

Samson Abramsky, Nihil Shah. Relating Structure and Power: Comonadic Semantics for Computational Resources. 14th International Workshop on Coalgebraic Methods in Computer Science (CMCS), Apr 2018, Thessaloniki, Greece. pp.1-5, ⟨10.1007/978-3-030-00389-0_1⟩. ⟨hal-02044639⟩
70 View
38 Download

Altmetric

Share

More