Integrating model checking and inductive logic programming

Authors:
Dalal Alrajeh;Alessandra Russo;Sebastian Uchitel;Jeff Kramer
Affiliations:
Imperial College London, UK;Imperial College London, UK;Imperial College London, UK,University of Buenos Aires/CONICET, Argentina;Imperial College London, UK
Venue:
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
Year:
2011

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Abstract

Inductive Logic Programming can be used to provide automated support to help correct the errors identified by model checking, which in turn provides the relevant context for learning hypotheses that are meaningful within the domain of interest. Model checking and Inductive Logic Programming can thus be seen as two complementary approaches with much to gain from their integration. In this paper we present a general framework for such an integration, discuss its main characteristics and present an overview of its application.