Titlebook: Logical Foundations of Computer Science; International Sympos Sergei Artemov,Anil Nerode Conference proceedings 2022 Springer Nature Switze

DALLY

Daniel Rogozinmpetitive knowledge processes on a global scale without losiBesides the ongoing concern with the epistemological and theoretical hegemony of the West in African academic practice, the book aims at understanding how knowledge is produced and controlled through the interplay of the politics of knowled

licence

火花

exostosis

Andrews Skolemization May Shorten Resolution Proofs Non-elementarily,entary bound in the complexity of . of resolution proofs . after structural Skolemization. The proofs are based on the elementary relation of resolution derivations with Andrews Skolemization to cut-free .-derivations and of resolution derivations with structural Skolemization to cut-free .-derivati

BUDGE

狗舍

,Justification Logic and?Type Theory as?Formalizations of?Intuitionistic Propositional Logic,logic with simply typed . calculus, by introducing a map from justification terms into . terms, which can be viewed as a method of extracting the computational content of the justification terms. Then we examine the interpretation of Kreisel’s addendum in justification logic along with the image of

CHOIR

cluster

saphenous-vein

,Constructive and?Mechanised Meta-Theory of?Intuitionistic Epistemic Logic,ess, they provided the base for a meta-theoretic investigation of IEL, which was continued by Krupski with a proof of cut-elimination, and Su and Sano establishing semantic cut-elimination and the finite model property. However, to the best of our knowledge, no analysis of these results in a constru

Frenetic

,A Parametrized Family of?Tversky Metrics Connecting the?Jaccard Distance to?an?Analogue of?the?Norma given finite set..We show that . is a metric if and only if . and .. This result is formally verified in the Lean proof assistant..The extreme points of this parametrized space of metrics are ., the Jaccard distance, and ., an analogue of the normalized information distance of M.?Li, Chen, X.?Li,