Title
Logic programming semantics made easy Logic programming semantics made easy
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Publication type
article
Publication
Berlin :Springer ,
Subject
Computer. Automation
Source (journal)
Proceedings of the International Conference on Automata, Languages and Programming
Volume/pages
(1992) , p. 499-508
ISSN
0302-9743
ISI
A1992KQ20300042
Carrier
E
Target language
English (eng)
Affiliation
University of Antwerp
Abstract
We propose a new model-theoretic semantics for logic programs, called pure semantics, based on the notions of unfounded set and assumption set. The pure semantics emerges from the observation that major logic programming semantics have the following feature in common: given an 'intended model' M, the set of negative literals in M corresponds exactly with the greatest unfounded set w.r.t. the set of positive literals in M. In other words, a model contains redundant information as its negative part can be described in function of its positive part. Thus, the total models and the partial models of programs can now be characterized by a set of positive literals. Based on this idea, we develop the pure semantics for logic programs. The result is a remarkably simple semantics that unifies previous approaches and explains how partial model semantics follows from a weaker closed world assumption.
E-info
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