This paper gives a characterisation, via intersection types, of the strongly normalising terms of an intuitionistic sequent calculus (where LJ easily embeds). The soundness of the ...
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
Abstract. In this paper we present an extensional higher-order resolution calculus that is complete relative to Henkin model semantics. The treatment of the extensionality principl...
We present a type theory for higher-order modules that accounts for many central issues in module system design, including translucency, applicativity, generativity, and modules a...
An important part of the Enterprise Resource Planning (ERP) system implementation process is the decision, which modules are implemented and in which order. We posit that the deci...