Arrow Research search
Back to JAAMAS

JAAMAS 2025

Behavioral QLTL

Journal Article OriginalPaper Artificial Intelligence · Multi-Agent Systems

Abstract

Abstract This paper introduces Behavioral QLTL, a “behavioral” variant of Linear Temporal Logic ( ltl ) 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” (Abadi et al. , Realizable and Unrealizable Specifications of Reactive Systems, 1989 ). This gives the logic a strategic flavor that we usually associate with planning. Indeed we show that temporally extended planning in nondeterministic domains and ltl synthesis are expressed in Behavioral qltl through formulas with a simple quantification alternation. As such alternation increases, we get to forms of planning/synthesis in which contingent 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 simpler forms of behavioral semantics.

Authors

Keywords

  • Strategic reasoning
  • Behavioral semantics
  • Foundations of planning
  • Reasoning about actions

Context

Venue
Autonomous Agents and Multi-Agent Systems
Archive span
2005-2026
Indexed papers
940
Paper id
997950497015321294