1 Department of Applied Mathematics and Computer Science, Technical University of Denmark2 Algorithms and Logic, Department of Applied Mathematics and Computer Science, Technical University of Denmark3 University of Verona4 University of Udine5 Department of Informatics and Mathematical Modeling, Technical University of Denmark6 University of Murcia
Interval logics formalize temporal reasoning on interval structures over linearly (or partially) ordered domains, where time intervals are the primitive ontological entities and truth of formulae is defined relative to time intervals, rather than time points. In this paper, we introduce and study Metric Propositional Neighborhood Logic (MPNL) over natural numbers. MPNL features two modalities referring, respectively, to an interval that is “met by” the current one and to an interval that “meets” the current one, plus an infinite set of length constraints, regarded as atomic propositions, to constrain the length of intervals. We argue that MPNL can be successfully used in different areas of computer science to combine qualitative and quantitative interval temporal reasoning, thus providing a viable alternative to well-established logical frameworks such as Duration Calculus. We show that MPNL is decidable in double exponential time and expressively complete with respect to a well-defined sub-fragment of the two-variable fragment FO2[N,=,<,s] of first-order logic for linear orders with successor function, interpreted over natural numbers. Moreover, we show that MPNL can be extended in a natural way to cover full FO2[N,=,<,s] , but, unexpectedly, the latter (and hence the former) turns out to be undecidable.
Software and Systems Modeling, 2013, Vol 12, Issue 2, p. 245-264