Closeness and Distance Relations in Order of Magnitude Qualitative Reasoning via {PDL}

 

Abstract

Citation

Please, cite this work as:

[BMO09] A. Burrieza, E. Mu~noz-Velasco, and M. Ojeda-Aciego. “Closeness and Distance Relations in Order of Magnitude Qualitative Reasoning via PDL”. In: Current Topics in Artificial Intelligence, 13th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2009, Seville, Spain, November 9-13, 2009. Selected Papers. Ed. by P. Meseguer, L. Mandow and R. M. Gasca. Vol. 5988. Lecture Notes in Computer Science. Springer, 2009, pp. 71-80. DOI: 10.1007/978-3-642-14264-2_8. URL: https://doi.org/10.1007/978-3-642-14264-2_8.

BibTeX

@InProceedings{Burrieza2009a,
     author = {Alfredo Burrieza and Emilio Mu~noz-Velasco and Manuel Ojeda-Aciego},
     booktitle = {Current Topics in Artificial Intelligence, 13th Conference of the Spanish Association for Artificial Intelligence, {CAEPIA} 2009, Seville, Spain, November 9-13, 2009. Selected Papers},
     title = {Closeness and Distance Relations in Order of Magnitude Qualitative Reasoning via {PDL}},
     year = {2009},
     editor = {Pedro Meseguer and Lawrence Mandow and Rafael M. Gasca},
     pages = {71–80},
     publisher = {Springer},
     series = {Lecture Notes in Computer Science},
     volume = {5988},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     biburl = {https://dblp.org/rec/conf/caepia/BurriezaMO09.bib},
     doi = {10.1007/978-3-642-14264-2_8},
     timestamp = {Tue, 14 May 2019 10:00:50 +0200},
     url = {https://doi.org/10.1007/978-3-642-14264-2_8},
}

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4

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4 Total citations

0 Recent citations

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• CrossRef - Citation Indexes: 1
• Scopus - Citation Indexes: 4

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• Mendeley - Readers: 5

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Papers citing this work

The following is a non-exhaustive list of papers that cite this work:

[1] J. Golińska-Pilarek and E. Muñoz-Velasco. “Reasoning with Qualitative Velocity: Towards a Hybrid Approach”. In: Hybrid Artificial Intelligent Systems. Springer Berlin Heidelberg, 2012, p. 635–646. ISBN: 9783642289422. DOI: 10.1007/978-3-642-28942-2_57. URL: http://dx.doi.org/10.1007/978-3-642-28942-2_57.