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Lower Bound Founded Logic of Here-and-There

  • A distinguishing feature of Answer Set Programming is that all atoms belonging to a stable model must be founded. That is, an atom must not only be true but provably true. This can be made precise by means of the constructive logic of Here-and-There, whose equilibrium models correspond to stable models. One way of looking at foundedness is to regard Boolean truth values as ordered by letting true be greater than false. Then, each Boolean variable takes the smallest truth value that can be proven for it. This idea was generalized by Aziz to ordered domains and applied to constraint satisfaction problems. As before, the idea is that a, say integer, variable gets only assigned to the smallest integer that can be justified. In this paper, we present a logical reconstruction of Aziz’ idea in the setting of the logic of Here-and-There. More precisely, we start by defining the logic of Here-and-There with lower bound founded variables along with its equilibrium models and elaborate upon its formal properties. Finally, we compare our approachA distinguishing feature of Answer Set Programming is that all atoms belonging to a stable model must be founded. That is, an atom must not only be true but provably true. This can be made precise by means of the constructive logic of Here-and-There, whose equilibrium models correspond to stable models. One way of looking at foundedness is to regard Boolean truth values as ordered by letting true be greater than false. Then, each Boolean variable takes the smallest truth value that can be proven for it. This idea was generalized by Aziz to ordered domains and applied to constraint satisfaction problems. As before, the idea is that a, say integer, variable gets only assigned to the smallest integer that can be justified. In this paper, we present a logical reconstruction of Aziz’ idea in the setting of the logic of Here-and-There. More precisely, we start by defining the logic of Here-and-There with lower bound founded variables along with its equilibrium models and elaborate upon its formal properties. Finally, we compare our approach with related ones and sketch future work.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Pedro CabalarORCiDGND, Jorge FandinnoORCiD, Torsten H. SchaubORCiDGND, Sebastian SchellhornORCiD
DOI:https://doi.org/10.1007/978-3-030-19570-0_34
ISBN:978-3-030-19570-0
ISBN:978-3-030-19569-4
ISSN:0302-9743
ISSN:1611-3349
Titel des übergeordneten Werks (Englisch):Logics in Artificial Intelligence
Verlag:Springer
Verlagsort:Cham
Publikationstyp:Sonstiges
Sprache:Englisch
Datum der Erstveröffentlichung:06.05.2019
Erscheinungsjahr:2019
Datum der Freischaltung:03.05.2021
Band:11468
Seitenanzahl:17
Erste Seite:509
Letzte Seite:525
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Informatik und Computational Science
DDC-Klassifikation:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke
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