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The use of LPR (logic of plausible reasoning) to obtain information on innovative casting technologies

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Języki publikacji
EN
Abstrakty
EN
The paper presents a methodology for the application of a formalism of the logic of plausible reasoning (LPR) to create knowledge about a specific problem area. In this case, the methodology has been related to the task of obtaining information about the innovative casting technologies. In the search for documents, formulas created in terms of LPR have a much greater expressive power than the commonly used keywords. The discussion was illustrated with the results obtained using a pilot version of the original information tool.
Rocznik
Strony
25--31
Opis fizyczny
Bibliogr. 13 poz., rys.
Twórcy
  • Foundry Research Institute in Cracow, Zakopiańska Street 73, Kraków, Poland
  • AGH University of Science and Technology, Department of Computer Science, Mickiewicza 30, 30-059 Kraków, Poland
autor
  • AGH University of Science and Technology, Department of Computer Science, Mickiewicza 30, 30-059 Kraków, Poland
autor
  • AGH University of Science and Technology, Department of Computer Science, Mickiewicza 30, 30-059 Kraków, Poland
  • Andrzej Frycz Modrzewski Krakow University, Department of Applied Informatics, Gustawa Herlinga-Grudzińskiego 1, 30-705 Kraków, Poland
Bibliografia
  • [1] James L. Beck, Bayesian system identification based on probability logic, Structural Control and Health Monitoring 1545-225517 (7) (2010) 825–847.
  • [2] A. Collins, R.S. Michalski, The logic of plausible reasoning: a core theory, Congnitive Science 13 (1) (1989) 1–49.
  • [3] J. David, M. Vrožina, Z. Jančíková, Determination of crystallizer service life on continuous steel casting by means of the knowledge system, WSEAS Transactions on Circuits and Systems 10 (10) (2011) 359–369 ISSN: 1109-2734359.
  • [4] S. Kluska-Nawarecka, Z. Górny, D. Wilk-Kołodziejczyk, A. Smolarek-Grzyb, The logic of plausible reasoning in the diagnosis of castings, Archives of Metallurgy and Materials 1733-3490375–380.
  • [5] I. Olejarczyk, A. Adrian, H. Adrian, B. Mrzygłód, Algorithm for controlling of quench hardening process of constructional steels, Archives of Metallurgy and Materials 1733- 3490171–179 Bibliogr.s.179.
  • [6] M. Saad Khan An, T.R. Soomro, Overview of human plausible reasoning, International Journal of Computer Applications 45 (18) (2012) 0975–8887.
  • [7] B. Śnieżyński, Basic semantics of the logic of plausible reasoning, in: Mohand-Saïd Hacidetal. (Ed.), Lecture Notes in Computer Science; vol. 2366. Lecture Notesin Artificial Intelligence, Springer-Verlag,Berlinetc.,2002,pp.176–184 Bibliogr. s.184, Abstr.3.
  • [8] B. Śnieżyński, Proof searching algorithm for the logic of plausible reasoning, in: A. Kłopotek Mieczysław, T.Sławomir (Eds.), Wierchoń, Krzysztof Trojanowski; Polish Academy of Sciences, Instytute of Computer Science -Berlin; Heidelberg; New York, Springer-Verlag, 2003, pp.393–398 (Advancesin Soft Computing; Series 4240).
  • [9] D. Wilk-Kołodziejczyk, Budowa algorytmów wiedzy dla potrzeb diagnostyki wad wyrobów metalowych. Kraków 2009.
  • [10] B. Śnieżyński, Recommendation system Rusing multistrategy inference and learning, in: S. Piotr, Janusz Szczepaniak, Kacprzyk, Adam Niewiadomski (Eds.), Advancesin Web Intelligence, volume 3528 of Lecture Notes in Computer Science, Springer, Berlin Heidelberg, 2005, pp. 421–426.
  • [11] A.O. Erkimbaev, A.B. Zhizhchenko, Zitserman V.Yu., G.A. Kobzev, E.E. Son, A.N. Sotnikov, Integration of databases on substance properties: approaches and technologies, Automatic Documentation and Mathematical Linguistics 46 (4) (2012) 170–176 Allerton Press, Inc..
  • [12] T. Priyavrat, Competitive foundry through integration of TIPS, Indian Foundry Journal 58 (1) (2012) 37 January.
  • [13] J. Prat, R. Stötzel, I. Yilmaz, Verminderte Blattrippenbildung auch ohne feuer feste Schlichte, Neues Sandadditiv, red, Giesserei-Verlag, Düsseldorf, 2012.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9c2d73b5-18c3-45d5-8eba-fce582abedec
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