Skip to main content

Intelligent Information System Based on Logic of Plausible Reasoning

  • Chapter
  • First Online:
Issues and Challenges in Artificial Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 559))

Abstract

The chapter 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, LPR gives a much greater expressive power than the commonly used keywords. The discussion is illustrated with the results obtained using a pilot version of the original information tool. It also presents a description of intelligent information system based on the LPR and the results of tests on the functionality and performance parameters of the system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Cawsey A (1991) Using plausible inference rules in description planning. In: Proceedings of the 5th conference of the European chapter of the association for computational linguistics, Congress Hall, Berlin

    Google Scholar 

  • Collins A, Michalski RS (1989) The logic of plausible reasoning: a core theory. Cogn Sci 13:1–49

    Article  Google Scholar 

  • Gabbay DM (1991) LDS-labelled deductive systems. Oxford University Press, Oxford

    Google Scholar 

  • Górny Z, Kluska-Nawarecka S, Wilk-Kolodziejczyk D (2010) Attribute-based knowledge representation in the process of defect diagnosis. Arch Metall Mater 55(3):819–826

    Google Scholar 

  • Hieb MR, Michalski RS (1993) A knowledge representation system based on dynamically interlaced hierarchies: basic ideas and examples. In: Technical report, George Mason University, Fairfax, Virginia

    Google Scholar 

  • Kluska-Nawarecka S (1999) Computer-aided methods for cast defects diagnosis. Foundry Research Institute, Krakow, Poland (in Polish)

    Google Scholar 

  • Kluska-Nawarecka S, Śnieżyński B, Parada W, Lustofin M, Wilk-Kołodziejczyk D (2014) The use of LPR (logic of plausible reasoning) to obtain information on innovative casting technologies. Arch Civil Mech Eng 14(1):25–31

    Article  Google Scholar 

  • Michalski RS (1983) A theory and methodology of inductive learning. Artif Intell 20:111–161

    Article  MathSciNet  Google Scholar 

  • Morgan CG (1985) Autologic. Logique et Analyse 28(110–111):257–282

    MATH  MathSciNet  Google Scholar 

  • Parada W, Lustofin M, Snieżyński B (supervisor) (2012) Expert system with learning capabilities based on the logic of plausible reasoning. In: Master Thesis, AGH University of Science and Technology, Poland (in Polish)

    Google Scholar 

  • Rawska J, Rawski D, Snieżynski B (supervisor) (2010) Expert system with learning capabilities. In: Master Thesis, AGH University of Science and Technology, Poland (in Polish)

    Google Scholar 

  • Śnieżyński B (2002) Probabilistic label algebra for the logic of plausible reasoning. In: Kłopotek M et al (eds) Intelligent information systems 2002 advances in soft computing. Springer, Berlin, pp 267–277

    Google Scholar 

  • Śnieżyński B (2003) Proof searching algorithm for the logic of plausible reasoning. In: Kłopotek M et al (eds) Intelligent information processing and web mining advances in soft computing. Springer, Berlin, pp 393–398

    Google Scholar 

  • Virvou M (2002) A cognitive theory in an authoring tool for intelligent tutoring systems. In: El Kamel A, Mellouli K, Borne P (eds), Proceedings of the IEEE international conference on systems, man and cybernetics

    Google Scholar 

  • Virvou M, Du Boulay B (1999) Human plausible reasoning for intelligent help. User Model User-Adap Inter 9:321–375

    Article  Google Scholar 

Download references

Acknowledgments

Scientific work financed from funds for the scientific research as an international project. Decision No. 820/N-Czechy/2010/0

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to B. Śnieżyński .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Śnieżyński, B., Kluska-Nawarecka, S., Nawarecki, E., Wilk-Kołodziejczyk, D. (2014). Intelligent Information System Based on Logic of Plausible Reasoning. In: S. Hippe, Z., L. Kulikowski, J., Mroczek, T., Wtorek, J. (eds) Issues and Challenges in Artificial Intelligence. Studies in Computational Intelligence, vol 559. Springer, Cham. https://doi.org/10.1007/978-3-319-06883-1_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-06883-1_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06882-4

  • Online ISBN: 978-3-319-06883-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics