Reasoning about quality and fuzziness of strategic behaviours

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Abstract

We introduce and study SL[F]-a quantitative extension of SL (Strategy Logic), one of the most natural and expressive logics describing strategic behaviours. The satisfaction value of an SL[F] formula is a real value in [0, 1], reflecting “how much” or “how well” the strategic on-going objectives of the underlying agents are satisfied. We demonstrate the applications of SL[F] in quantitative reasoning about multi-agent systems, by showing how it can express concepts of stability in multi-agent systems, and how it generalises some fuzzy temporal logics. We also provide a model-checking algorithm for our logic, based on a quantitative extension of Quantified CTL?.

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Bouyer, P., Kupferman, O., Markey, N., Maubert, B., Murano, A., & Perelli, G. (2019). Reasoning about quality and fuzziness of strategic behaviours. In IJCAI International Joint Conference on Artificial Intelligence (Vol. 2019-August, pp. 1588–1594). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2019/220

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