Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH scholarly article en Beldiceanu, Nicolas; Cheukam-Ngouonou, Jovial; Douence, Rémi; Gindullin, Ramiz; Quimper, Claude-Guy https://www.dagstuhl.de/lipics License: Creative Commons Attribution 4.0 license (CC BY 4.0)
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URN: urn:nbn:de:0030-drops-166353
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Acquiring Maps of Interrelated Conjectures on Sharp Bounds

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Abstract

To automate the discovery of conjectures on combinatorial objects, we introduce the concept of a map of sharp bounds on characteristics of combinatorial objects, that provides a set of interrelated sharp bounds for these combinatorial objects. We then describe a Bound Seeker, a CP-based system, that gradually acquires maps of conjectures. The system was tested for searching conjectures on bounds on characteristics of digraphs: it constructs sixteen maps involving 431 conjectures on sharp lower and upper-bounds on eight digraph characteristics.

BibTeX - Entry

@InProceedings{beldiceanu_et_al:LIPIcs.CP.2022.6,
  author =	{Beldiceanu, Nicolas and Cheukam-Ngouonou, Jovial and Douence, R\'{e}mi and Gindullin, Ramiz and Quimper, Claude-Guy},
  title =	{{Acquiring Maps of Interrelated Conjectures on Sharp Bounds}},
  booktitle =	{28th International Conference on Principles and Practice of Constraint Programming (CP 2022)},
  pages =	{6:1--6:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-240-2},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{235},
  editor =	{Solnon, Christine},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/16635},
  URN =		{urn:nbn:de:0030-drops-166353},
  doi =		{10.4230/LIPIcs.CP.2022.6},
  annote =	{Keywords: Acquisition of conjectures, digraphs, bounds}
}

Keywords: Acquisition of conjectures, digraphs, bounds
Seminar: 28th International Conference on Principles and Practice of Constraint Programming (CP 2022)
Issue date: 2022
Date of publication: 23.07.2022
Supplementary Material: Software (Source Code): https://github.com/cquimper/MapSeekerCP2022


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