A Procedural Semantics for Multi-adjoint Logic Programming
Abstract
Citation
Please, cite this work as:
[MOV01] J. Medina, M. Ojeda-Aciego, and P. Vojtás. “A Procedural Semantics for Multi-adjoint Logic Programming”. In: Progress in Artificial Intelligence, Knowledge Extraction, Multi-agent Systems, Logic Programming and Constraint Solving, 10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Porto, Portugal, December 17-20, 2001, Proceedings. Ed. by P. Brazdil and Al'. Vol. 2258. Lecture Notes in Computer Science. Springer, 2001, pp. 290-297. DOI: 10.1007/3-540-45329-6_29. URL: https://doi.org/10.1007/3-540-45329-6_29.
Bibliometric data
The following data has been extracted from resources such as OpenAlex, Dimensions, PlumX or Altmetric.
Cites
The following graph plots the number of cites received by this work from its publication, on a yearly basis.
Papers citing this work
The following is a non-exhaustive list of papers that cite this work:
[1] R. Caballero, M. Rodríguez-Artalejo, and C. A. Romero-Díaz. “Similarity-based reasoning in qualified logic programming”. In: Proceedings of the 10th international ACM SIGPLAN conference on Principles and practice of declarative programming. PPDP08. ACM, Jul. 2008, p. 185–194. DOI: 10.1145/1389449.1389472. URL: http://dx.doi.org/10.1145/1389449.1389472.
[2] I. P. Cabrera, P. Cordero, and M. Ojeda-Aciego. “Fuzzy Logic, Soft Computing, and Applications”. In: Bio-Inspired Systems: Computational and Ambient Intelligence. Springer Berlin Heidelberg, 2009, p. 236–244. ISBN: 9783642024788. DOI: 10.1007/978-3-642-02478-8_30. URL: http://dx.doi.org/10.1007/978-3-642-02478-8_30.
[3] C. Damasio, J. Medina, and M. Ojeda-Aciego. “A Tabulation Proof Procedure for First-order Residuated Logic Programs: Soundness, Completeness and Optimizations”. In: 2006 IEEE International Conference on Fuzzy Systems. IEEE, 2006, p. 2004–2011. DOI: 10.1109/fuzzy.2006.1681978. URL: http://dx.doi.org/10.1109/fuzzy.2006.1681978.
[4] S. Guadarrama, S. Muñoz, and C. Vaucheret. “Fuzzy Prolog: a new approach using soft constraints propagation”. In: Fuzzy Sets and Systems 144.1 (May. 2004), p. 127–150. ISSN: 0165-0114. DOI: 10.1016/j.fss.2003.10.017. URL: http://dx.doi.org/10.1016/j.fss.2003.10.017.
[5] J. A. Guerrero and G. Moreno. “Optimizing Fuzzy Logic Programs by Unfolding, Aggregation and Folding”. In: Electronic Notes in Theoretical Computer Science 219 (Nov. 2008), p. 19–34. ISSN: 1571-0661. DOI: 10.1016/j.entcs.2008.10.032. URL: http://dx.doi.org/10.1016/j.entcs.2008.10.032.
[6] P. Julián-Iranzo and C. Rubio-Manzano. “A declarative semantics for Bousi~Prolog”. In: Proceedings of the 11th ACM SIGPLAN conference on Principles and practice of declarative programming. PPDP ’09. ACM, Sep. 2009, p. 149–160. DOI: 10.1145/1599410.1599430. URL: http://dx.doi.org/10.1145/1599410.1599430.
[7] P. Julián, J. Medina, G. Moreno, et al. “Efficient Thresholded Tabulation for Fuzzy Query Answering”. In: Foundations of Reasoning under Uncertainty. Springer Berlin Heidelberg, 2010, p. 125–141. ISBN: 9783642107283. DOI: 10.1007/978-3-642-10728-3_7. URL: http://dx.doi.org/10.1007/978-3-642-10728-3_7.
[8] P. Julián, J. Medina, G. Moreno, et al. “Thresholded Tabulation in a Fuzzy Logic Setting”. In: Electronic Notes in Theoretical Computer Science 248 (Aug. 2009), p. 115–130. ISSN: 1571-0661. DOI: 10.1016/j.entcs.2009.07.063. URL: http://dx.doi.org/10.1016/j.entcs.2009.07.063.
[9] P. Julián, G. Moreno, and J. Penabad. “An improved reductant calculus using fuzzy partial evaluation techniques”. In: Fuzzy Sets and Systems 160.2 (Jan. 2009), p. 162–181. ISSN: 0165-0114. DOI: 10.1016/j.fss.2008.05.006. URL: http://dx.doi.org/10.1016/j.fss.2008.05.006.
[10] P. Julián, G. Moreno, and J. Penabad. “On fuzzy unfolding: A multi-adjoint approach”. In: Fuzzy Sets and Systems 154.1 (Aug. 2005), p. 16–33. ISSN: 0165-0114. DOI: 10.1016/j.fss.2005.03.013. URL: http://dx.doi.org/10.1016/j.fss.2005.03.013.
[11] T. Kuhr and V. Vychodil. “Fuzzy logic programming reduced to reasoning with attribute implications”. In: Fuzzy Sets and Systems 262 (Mar. 2015), p. 1–20. ISSN: 0165-0114. DOI: 10.1016/j.fss.2014.04.013. URL: http://dx.doi.org/10.1016/j.fss.2014.04.013.
[12] J. Medina, E. Mérida-Casermeiro, and M. Ojeda-Aciego. “A neural implementation of multi-adjoint logic programming”. In: Journal of Applied Logic 2.3 (Sep. 2004), p. 301–324. ISSN: 1570-8683. DOI: 10.1016/j.jal.2004.03.006. URL: http://dx.doi.org/10.1016/j.jal.2004.03.006.
[13] J. Medina, M. Ojeda-Aciego, and P. Vojtáš. “Similarity-based unification: a multi-adjoint approach”. In: Fuzzy Sets and Systems 146.1 (Aug. 2004), p. 43–62. ISSN: 0165-0114. DOI: 10.1016/j.fss.2003.11.005. URL: http://dx.doi.org/10.1016/j.fss.2003.11.005.
[14] P. J. Morcillo, G. Moreno, J. Penabad, et al. “A Practical Management of Fuzzy Truth-Degrees Using FLOPER”. In: Semantic Web Rules. Springer Berlin Heidelberg, 2010, p. 20–34. ISBN: 9783642162893. DOI: 10.1007/978-3-642-16289-3_4. URL: http://dx.doi.org/10.1007/978-3-642-16289-3_4.
[15] P. J. Morcillo, G. Moreno, J. Penabad, et al. “Dedekind–MacNeille completion and Cartesian product of multi-adjoint lattices”. In: International Journal of Computer Mathematics 89.13–14 (Sep. 2012), p. 1742–1752. ISSN: 1029-0265. DOI: 10.1080/00207160.2012.689826. URL: http://dx.doi.org/10.1080/00207160.2012.689826.
[16] P. J. Morcillo, G. Moreno, J. Penabad, et al. “Fuzzy Computed Answers Collecting Proof Information”. In: Advances in Computational Intelligence. Springer Berlin Heidelberg, 2011, p. 445–452. ISBN: 9783642214981. DOI: 10.1007/978-3-642-21498-1_56. URL: http://dx.doi.org/10.1007/978-3-642-21498-1_56.
[17] G. Moreno. “Building a Fuzzy Transformation System”. In: SOFSEM 2006: Theory and Practice of Computer Science. Springer Berlin Heidelberg, 2006, p. 409–418. ISBN: 9783540322177. DOI: 10.1007/11611257_39. URL: http://dx.doi.org/10.1007/11611257_39.
[18] G. Moreno, J. Penabad, and C. Vázquez. “Beyond multi-adjoint logic programming”. In: International Journal of Computer Mathematics 92.9 (Nov. 2014), p. 1956–1975. ISSN: 1029-0265. DOI: 10.1080/00207160.2014.975218. URL: http://dx.doi.org/10.1080/00207160.2014.975218.
[19] G. Moreno and C. Vázquez. “Fuzzy Logic Programming in Action with <i>FLOPER</i>”. In: Journal of Software Engineering and Applications 07.04 (2014), p. 273–298. ISSN: 1945-3124. DOI: 10.4236/jsea.2014.74028. URL: http://dx.doi.org/10.4236/jsea.2014.74028.
[20] S. Munoz-Hernandez, V. Pablos-Ceruelo, and H. Strass. “RFuzzy: Syntax, semantics and implementation details of a simple and expressive fuzzy tool over Prolog”. In: Information Sciences 181.10 (May. 2011), p. 1951–1970. ISSN: 0020-0255. DOI: 10.1016/j.ins.2010.07.033. URL: http://dx.doi.org/10.1016/j.ins.2010.07.033.
[21] U. Straccia. “Managing Uncertainty and Vagueness in Description Logics, Logic Programs and Description Logic Programs”. In: Reasoning Web. Springer Berlin Heidelberg, 2008, p. 54–103. ISBN: 9783540856580. DOI: 10.1007/978-3-540-85658-0_2. URL: http://dx.doi.org/10.1007/978-3-540-85658-0_2.