Skip to main content
SpringerLink
Log in
Book cover

International Conference on Artificial Intelligence and Soft Computing

ICAISC 2016: Artificial Intelligence and Soft Computing pp 729–738Cite as

Agents Retaining and Reusing of Experience Applied to Control of Semi-continuous Production Process

  • Conference paper
  • First Online:

  • 1134 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9692))

Abstract

The model of human decision making involves reusing of earlier gathered experience together with retaining of knowledge related to currently undertaken decisions and its results. Presented here research focuses on the retaining of experience that should enable learning on the basis of results following currently undertaken actions. Such model of human decision making can be used as the basis by construction of a reasoning system in various application areas, one of which can be the control of a semi-continuous production process. Solutions in this application domain are presented, designed and implemented taking into account the paradigm of agent approach to design computer systems and the paradigm of case-base reasoning (CBR) as the methodology of solving present problems with the use of past made solutions.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Learn about institutional subscriptions

References

  1. Sztangret, Ł., Rauch, Ł., Kusiak, J., Jarosz, P., Małecki, S.: Modeling of the oxidizing roasting process of zinc sulphide concentrates using the artificial neural networks. Comput. Methods Mater. Sci. 11, 122–127 (2011)

    Google Scholar 

  2. Aamodt, A., Plaza, E.: Case-based reasoning: foundational issues, methodological variations and system approaches. AI Commun. 7, 39–59 (1994)

    Google Scholar 

  3. Richter, Michael M.: Introduction. In: Lenz, Mario, Burkhard, Hans-Dieter, Wess, Stefan, Bartsch-Spörl, Brigitte (eds.) Case-Based Reasoning Technology. LNCS (LNAI), vol. 1400, p. 1. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  4. Bergmann, R., Althoff, K.D., Minor, M., Reichle, M., Bach, K.: Case-based reasoning - introduction and recent developments. Künstliche Intelligenz, German J. Artif. Intell. 23, 5–11 (2009)

    Google Scholar 

  5. Wooldridge, M.: An Introduction to MultiAgent Systems. Wiley, New York (2001)

    Google Scholar 

  6. Bequette, B.W.: Process Control: Modeling, Design and Simulation. Prentice Hall Press, Upper Saddle River (2003)

    Google Scholar 

  7. Rojek, G.: Agents modeling experience applied to control of semi-continuous production process. Comput. Sci. 15, 411–439 (2014)

    Article  Google Scholar 

Download references

Acknowledgments

Financial support of the Ministry of Science and Higher Education (AGH UST, project no. 11.11.110.300) is acknowledged.

Author information

Authors and Affiliations

  1. AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059, Krakow, Poland

    Gabriel Rojek

Authors
  1. Gabriel Rojek
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gabriel Rojek .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Czestochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Czestochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Czestochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Rojek, G. (2016). Agents Retaining and Reusing of Experience Applied to Control of Semi-continuous Production Process. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9692. Springer, Cham. https://doi.org/10.1007/978-3-319-39378-0_62

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-39378-0_62

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39377-3

  • Online ISBN: 978-3-319-39378-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation