KR2025Proceedings of the 22nd International Conference on Principles of Knowledge Representation and ReasoningProceedings of the 22nd International Conference on Principles of Knowledge Representation and Reasoning

Melbourne, Australia. November 11-17, 2025.

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ISSN: 2334-1033
ISBN: 978-1-956792-08-9

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Copyright © 2025 International Joint Conferences on Artificial Intelligence Organization

Emerson-Lei and Manna-Pnueli Games for LTLf+ and PPLTL+ Synthesis

  1. Daniel Hausmann(University of Liverpool)
  2. Shufang Zhu(University of Liverpool)
  3. Gianmarco Parretti(Sapienza Università di Roma)
  4. Christoph Weinhuber(University of Oxford)
  5. Giuseppe De Giacomo(University of Oxford, Sapienza Università di Roma)
  6. Nir Piterman(University of Gothenburg, Chalmers University of Technology)

Keywords

  1. Reactive Synthesis
  2. Manna-Pnueli Hierarchy Of LTL Properties
  3. LTLf On Finite Traces
  4. LTLf+
  5. Infinite Duration Games
  6. Emerson-Lei Games

Abstract

Recently, the Manna-Pnueli Hierarchy has been used to define the temporal logics LTLf+ and PPLTL+, which allow to use finite-trace LTLf/PPLTL techniques in infinite-trace settings while achieving the expressiveness of full LTL.

In this paper, we present the first actual solvers for reactive synthesis in these logics. These are based on games on graphs that leverage DFA-based techniques from LTLf/PPLTL to construct the game arena. We start with a symbolic solver based on Emerson-Lei games, which reduces lower-class properties (guarantee, safety) to higher ones (recurrence, persistence) before solving the game.

We then introduce Manna-Pnueli games, which natively embed Manna-Pnueli objectives into the arena. These games are solved by composing solutions to a DAG of simpler Emerson-Lei games, resulting in a provably more efficient approach.

We implemented the solvers and practically evaluated their performance on a range of representative formulas. The results show that Manna-Pnueli games often offer significant advantages, though not universally, indicating that combining both approaches could further enhance practical performance.