@inproceedings{462293d4eeb54677992c603834027f38,

title = "Metric Propositional Neighborhood Logics: Expressiveness, Decidability, and Undecidability",

abstract = "Interval temporal logics formalize reasoning about interval structures over (usually) linearly 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 lengths of intervals. We argue that MPNL can be successfully used in different areas of artificial intelligence 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 subfragment of the two-variable fragment FO2[N, =, ",

author = "Davide Bresolin and {Della Monica}, Dario and Valentin Goranko and Angelo Montanari and Guido Sciavicco",

year = "2010",

doi = "10.3233/978-1-60750-606-5-695",

language = "English",

isbn = "978-1-60750-605-8",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "I O S Press",

number = "215",

pages = "695--700",

editor = "Michael Wooldridge",

booktitle = "Proceedings of the 19th European Conference on Artificial Intelligence (ECAI'10)",

note = "19th European Conference on Artificial Intelligence, ECAI'10 ; Conference date: 01-01-2010",

}