Towards an Abstraction-Refinement Framework for Reasoning with Large Theories

5 pages•Published: June 4, 2017

Julio Cesar Lopez Hernandez and Konstantin Korovin

Abstract

In this paper we present an approach to reasoning with large theories which is based on the abstraction-refinement framework.
The proposed approach consists of the following approximations: the over-approximation, the under-approximation, and their combination.

In: Thomas Eiter, David Sands, Geoff Sutcliffe and Andrei Voronkov (editors). IWIL Workshop and LPAR Short Presentations, vol 1, pages 119-123.

Links:	https://easychair.org/publications/paper/glJ
	https://doi.org/10.29007/4zh8

BibTeX entry

@inproceedings{LPAR-21S:Towards_Abstraction_Refinement_Framework,
  author    = {Julio Cesar Lopez Hernandez and Konstantin Korovin},
  title     = {Towards an Abstraction-Refinement Framework for Reasoning with Large Theories},
  booktitle = {IWIL Workshop and LPAR Short Presentations},
  editor    = {Thomas Eiter and David Sands and Geoff Sutcliffe and Andrei Voronkov},
  series    = {Kalpa Publications in Computing},
  volume    = {1},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1762},
  url       = {/publications/paper/glJ},
  doi       = {10.29007/4zh8},
  pages     = {119-123},
  year      = {2017}}

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