Discounting in Strategy Logic
Munyque Mittelmann, Aniello Murano, Laurent Perrussel
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 SL[D]. We consider “until” operators with discounting functions: the satisfaction value of a specification in SL[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 SL[D]-formulas.
BibTeX
@inproceedings{ijcai2023p26,
title = {Discounting in Strategy Logic},
author = {Mittelmann, Munyque and Murano, Aniello and Perrussel, Laurent},
booktitle = {Proceedings of the Thirty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-23}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Edith Elkind},
pages = {225--233},
year = {2023},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2023/26},
url = {https://doi.org/10.24963/ijcai.2023/26},
}