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Why Does Propositional Quantification Make Modal and Temporal Logics on Trees Robustly Hard?

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Published in:Logical Methods in Computer Science
Format: Online Article RSS Article
Published: 2022
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container_title Logical Methods in Computer Science
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet Logical Methods in Computer Science
publishDate 2022
publishDateSort 2022
record_format rss_article
spellingShingle Why Does Propositional Quantification Make Modal and Temporal Logics on Trees Robustly Hard?
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title Why Does Propositional Quantification Make Modal and Temporal Logics on Trees Robustly Hard?
title_auth Why Does Propositional Quantification Make Modal and Temporal Logics on Trees Robustly Hard?
title_full Why Does Propositional Quantification Make Modal and Temporal Logics on Trees Robustly Hard?
title_fullStr Why Does Propositional Quantification Make Modal and Temporal Logics on Trees Robustly Hard?
title_full_unstemmed Why Does Propositional Quantification Make Modal and Temporal Logics on Trees Robustly Hard?
title_short Why Does Propositional Quantification Make Modal and Temporal Logics on Trees Robustly Hard?
title_sort why does propositional quantification make modal and temporal logics on trees robustly hard?
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url https://doi.org/10.46298/lmcs-18(3:5)2022