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Doctoral thesis
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https://doi.org/10.12681/eadd/...
Doctoral thesis . 2021 . Peer-reviewed
Data sources: Crossref
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Prοοf procedure for extensional higher-order logic programming

descriptionPublicationkeyboard_double_arrow_right Doctoral thesis 06 Sep 2021Publisher:National Documentation Centre (EKT)

doi: 10.12681/eadd/38099

Prοοf procedure for extensional higher-order logic programming

Abstract

Θεωρούμε μια εκτατική γλώσσα λογικού προγραμματισμού υψηλής τάξης η οποία διαθέτει την ιδιότητα του ελάχιστου μοντέλου Herbrand. Προτείνουμε μια αποδεικτική διαδικασία για τη γλώσσα αυτή και αποδεικνύουμε ότι είναι ορθή και πλήρης σε σχέση με τη σημασιολογία ελάχιστου μοντέλου. Κατά συνέπεια, επεκτείνουμε την κλασική αποδεικτική διαδικασία του λογικού προγραμματισμού πρώτης τάξης ώστε να εφαρμόζεται στην πολύ πιο γενική περίπτωση του λογικού προγραμματισμού υψηλής τάξης. Κατόπιν εμπλουτίζουμε τη γλώσσα υψηλής τάξης ώστε να υποστηρίζει κατασκευαστική άρνηση και επεκτείνουμε την αποδεικτική διαδικασία ώστε να χειρίζεται τη νέα αυτή προσθήκη. Αποδεικνύουμε την ορθότητα της νέας διαδικασίας και περιγράφουμε μια υλοποίηση η οποία ενσωματώνει τις παραπάνω ιδέες.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average