English

Hyper Strategy Logic

Multiagent Systems 2024-03-21 v1 Artificial Intelligence Logic in Computer Science

Abstract

Strategy logic (SL) is a powerful temporal logic that enables strategic reasoning in multi-agent systems. SL supports explicit (first-order) quantification over strategies and provides a logical framework to express many important properties such as Nash equilibria, dominant strategies, etc. While in SL the same strategy can be used in multiple strategy profiles, each such profile is evaluated w.r.t. a path-property, i.e., a property that considers the single path resulting from a particular strategic interaction. In this paper, we present Hyper Strategy Logic (HyperSL), a strategy logic where the outcome of multiple strategy profiles can be compared w.r.t. a hyperproperty, i.e., a property that relates multiple paths. We show that HyperSL can capture important properties that cannot be expressed in SL, including non-interference, quantitative Nash equilibria, optimal adversarial planning, and reasoning under imperfect information. On the algorithmic side, we identify an expressive fragment of HyperSL with decidable model checking and present a model-checking algorithm. We contribute a prototype implementation of our algorithm and report on encouraging experimental results.

Keywords

Cite

@article{arxiv.2403.13741,
  title  = {Hyper Strategy Logic},
  author = {Raven Beutner and Bernd Finkbeiner},
  journal= {arXiv preprint arXiv:2403.13741},
  year   = {2024}
}

Comments

AAMAS 2024

R2 v1 2026-06-28T15:27:36.333Z