English

Discounting in Strategy Logic

Artificial Intelligence 2023-05-25 v1

Abstract

Discounting is an important dimension in multi-agent systems as long as we want to reason about strategies and time. It is a key aspect in economics as it captures the intuition that the far-away future is not as important as the near future. Traditional verification techniques allow to check whether there is a winning strategy for a group of agents but they do not take into account the fact that satisfying a goal sooner is different from satisfying it after a long wait. In this paper, we augment Strategy Logic with future discounting over a set of discounted functions D, denoted SLdisc[D]. We consider "until" operators with discounting functions: the satisfaction value of a specification in SLdisc[D] is a value in [0, 1], where the longer it takes to fulfill requirements, the smaller the satisfaction value is. We motivate our approach with classical examples from Game Theory and study the complexity of model-checking SLdisc[D]-formulas.

Keywords

Cite

@article{arxiv.2305.15256,
  title  = {Discounting in Strategy Logic},
  author = {Munyque Mittelmann and Aniello Murano and Laurent Perrussel},
  journal= {arXiv preprint arXiv:2305.15256},
  year   = {2023}
}

Comments

Extended version of the paper accepted at IJCAI 2023

R2 v1 2026-06-28T10:44:45.886Z