Extensional Higher-Order Logic Programming
Charalambidis, A., Handjopoulos, K., Rondogiannis, P., Wadge, W. W.
–arXiv.org Artificial Intelligence
We propose a purely extensional semantics for higher-order logic programming. In this semantics program predicates denote sets of ordered tuples, and two predicates are equal iff they are equal as sets. Moreover, every program has a unique minimum Herbrand model which is the greatest lower bound of all Herbrand models of the program and the least fixed-point of an immediate consequence operator. We also propose an SLD-resolution proof procedure which is proven sound and complete with respect to the minimum model semantics. In other words, we provide a purely extensional theoretical framework for higher-order logic programming which generalizes the familiar theory of classical (first-order) logic programming.
arXiv.org Artificial Intelligence
Jun-17-2011
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