We discuss the hierarchy of hyperlogics from a knowledge reasoning perspective. Hyperproperties generalize trace properties by relating multiple traces. Recently, logics for hyperproperties have been obtained from standard logics by adding variables for traces or paths to temporal logics like LTL and CTL*, and by adding the equal-level predicate to first-order and second-order logics, like monadic first-order logic of order and MSO. The resulting hierarchy of hyperlogics provides interesting opportunities for knowledge reasoning research: many epistemic properties and system properties in multi-agent systems, like distributivity, are hyperproperties. At the same time, first-order and second-order reasoning methods become applicable to hyperproperties.
History
Preferred Citation
Norine Coenen, Bernd Finkbeiner, Christopher Hahn and Jana Hofmann. The Hierarchy of Hyperlogics: A Knowledge Reasoning Perspective. In: IEEE Symposium on Logic in Computer Science (LICS). 2020.
Primary Research Area
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Name of Conference
IEEE Symposium on Logic in Computer Science (LICS)
Legacy Posted Date
2020-11-30
Book Title
2019 34th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS 2019)
Page Range
80-92
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Open Access Type
Unknown
BibTeX
@inproceedings{cispa_all_3302,
title = "The Hierarchy of Hyperlogics: A Knowledge Reasoning Perspective",
author = "Coenen, Norine and Finkbeiner, Bernd and Hahn, Christopher and Hofmann, Jana",
booktitle="{IEEE Symposium on Logic in Computer Science (LICS)}",
year="2020",
}