BibTeX Export for Inductive Inference and Epistemic Modal Logic (Invited Talk)

Copy to Clipboard Download

@InProceedings{gierasimczuk:LIPIcs.CSL.2023.2,
  author =	{Gierasimczuk, Nina},
  title =	{{Inductive Inference and Epistemic Modal Logic}},
  booktitle =	{31st EACSL Annual Conference on Computer Science Logic (CSL 2023)},
  pages =	{2:1--2:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-264-8},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{252},
  editor =	{Klin, Bartek and Pimentel, Elaine},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CSL.2023.2},
  URN =		{urn:nbn:de:0030-drops-174634},
  doi =		{10.4230/LIPIcs.CSL.2023.2},
  annote =	{Keywords: modal logic, dynamic epistemic logic, inductive inference, topological semantics, computational learning theory, finite identifiability, identifiability in the limit}
}

The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.

Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode

Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail