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Highlights 2021

Behavioral QLTL

Conference Abstract SESSION 7A: Logic I Logic in Computer Science · Theoretical Computer Science

Abstract

We introduce Behavioral QLTL, which is a “behavioral” variant of linear-time temporal logic on infinite traces with second-order quantifiers. Behavioral QLTL is characterized by the fact that the functions that assign the truth value of the quantified propositions along the trace can only depend on the past. In other words such functions must be “processes”. This gives to the logic a strategic flavor that we usually associate to planning. Indeed we show that temporally extended planning in nondeterministic domains, as well as LTL synthesis, are expressed in Behavioral QLTL through formulas with a simple quantification alternation. While, as this alternation increases, we get to forms of planning/synthesis in which conditional and conformant planning aspects get mixed. We study this logic from the computational point of view and compare it to the original QLTL (with non-behavioral semantics), and with simpler forms of behavioral semantics.

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Context

Venue
Highlights of Logic, Games and Automata
Archive span
2013-2025
Indexed papers
1236
Paper id
928450458910176597