Fabio Papacchini

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Model generation and minimal model generation is useful for fault analysis, verification of systems and validation of data models. Whereas for classical propositional and first-order logic several model minimization approaches have been developed and studied, for non-classical logic the topic has been much less studied. In this paper we introduce a minimal(More)
(University of Strathclyde) who gave fascinating talks on Using Game Theory for Higher Order Matching and Principled Ways of Deriving Induction Rules for Data Types. This workshop series provides an informal forum for the automated reasoning community to discuss recent work, new ideas and current trends. It aims to bring together researchers from all areas(More)
In this paper we propose a novel minimality criterion for models of modal logics based on a variation of the notion of simulation , called subset-simulation. We present a minimal model sound and complete tableau calculus for the generation of this new kind of minimal models for the multi-modal logic K (m) , and we discuss extensions to cover more expressive(More)
Model generation and minimal model generation are useful for tasks such as model checking and for debugging of logical specifications. This paper presents terminating procedures for the generation of models minimal modulo subset-simulation for the modal logic K and all combinations of extensions with the axioms T, B, D, 4 and 5. Our procedures are minimal(More)
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