Sensing as a complexity measure

Shaull Almagor, Denis Kuperberg, Orna Kupferman*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The size of deterministic automata required for recognizing regular and ω-regular languages is a well-studied measure for the complexity of languages. We introduce and study a new complexity measure, based on the sensing required for recognizing the language. Intuitively, the sensing cost quantifies the detail in which a random input word has to be read in order to decide its membership in the language. We study the sensing cost of regular and ω-regular languages, as well as applications of the study in practice, especially in the monitoring and synthesis of reactive systems.

Original languageEnglish
Title of host publicationDescriptional Complexity of Formal Systems - 19th IFIP WG 1.02 International Conference, DCFS 2017, Proceedings
EditorsGiovanni Pighizzini, Cezar Campeanu
PublisherSpringer Verlag
Pages3-15
Number of pages13
ISBN (Print)9783319602516
DOIs
StatePublished - 2017
Event19th International Conference of Descriptional Complexity of Formal Systems, DCFS 2017 - Milano, Italy
Duration: 3 Jul 20175 Jul 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10316 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference of Descriptional Complexity of Formal Systems, DCFS 2017
Country/TerritoryItaly
CityMilano
Period3/07/175/07/17

Bibliographical note

Publisher Copyright:
© IFIP International Federation for Information Processing 2017.

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