Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Interactive Rough-Granular Computing in Wisdom Technology

  • Conference paper
Active Media Technology (AMT 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8210))

Included in the following conference series:

Abstract

Understanding of interactions is the critical issue of complex systems. Interactions in physical world are represented by information granules. We propose to model complex systems by interactive intelligent systems (IIS) created by societies of agents. Computations in IIS are based on complex granules (c-granules, for short). Adaptive judgement allows us to reason about c-granules and interactive computations performed on them. In adaptive judgement, different kinds of reasoning are involved such as deduction, induction, abduction or reasoning by analogy as well as intuitive judgement. In modeling of mental parts of c-granules, called information granules (infogranules, for short), we use the approach based on the rough set methods in combination with other soft computing approaches. Issues related to interactions among objects in the physical and mental worlds as well as adaptive judgement belong to the fundamental issues in Wisdom Technology (WisTech). In the paper we concentrate on some basic issues related to interactive computations over c-granules. WisTech was developed over years of work on different real-life projects. It can also be treated as a basis in searching for solutions of problems in such areas as Active Media Technology and Wisdom Web of Things.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Bazan, J.: Hierarchical classifiers for complex spatio-temporal concepts. In: Peters, J.F., Skowron, A., Rybiński, H. (eds.) Transactions on Rough Sets IX. LNCS, vol. 5390, pp. 474–750. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  2. Bohm, D., Peat, F.D.: Science, Order, and Creativity, pp. 240–247. Bantam, New York (1987)

    Google Scholar 

  3. Goldin, D., Smolka, S., Wegner, P. (eds.): Interactive Computation: The New Paradigm. Springer (2006)

    Google Scholar 

  4. Gurevich, Y.: Interactive algorithms 2005. In: Goldin, et al. (eds.) [3], pp. 165–181

    Google Scholar 

  5. Heller, M.: The Ontology of Physical Objects. Four Dimensional Hunks of Matter. Cambridge Studies in Philosophy. Cambridge University Press (1990)

    Google Scholar 

  6. Jankowski, A., Skowron, A.: A WisTech paradigm for intelligent systems. In: Peters, J.F., Skowron, A., Düntsch, I., Grzymała-Busse, J.W., Orłowska, E., Polkowski, L. (eds.) Transactions on Rough Sets VI. LNCS, vol. 4374, pp. 94–132. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  7. Jankowski, A., Skowron, A.: Practical Issues of Complex Systems Engineering: Wisdom Technology Approach. Springer, Heidelberg (2013)

    Google Scholar 

  8. Kahneman, D.: Maps of bounded rationality: Psychology for behavioral economics. The American Economic Review 93, 1449–1475 (2002)

    Article  Google Scholar 

  9. Kahneman, D.: Thinking, Fast and Slow. Farrar, Straus and Giroux, New York (2011)

    Google Scholar 

  10. Liu, J.: Active media technologies (AMT) from the standpoint of the Wisdom Web. In: Li, Y., Looi, M., Zhong, N. (eds.) Advances in Intelligent IT - Active Media Technology 2006, Proceedings of the 4th International Conference on Active Media Technology, AMT 2006, Brisbane, Australia, June 7-9. Frontiers in Artificial Intelligence and Applications, vol. 138. IOS Press, Brisbane (2006)

    Google Scholar 

  11. Marsh, L.: Stigmergic epistemology, stigmergic cognition. Journal Cognitive Systems 9, 136–149 (2008)

    Article  Google Scholar 

  12. Noë, A.: Action in Perception. MIT Press (2004)

    Google Scholar 

  13. Omicini, A., Ricci, A., Viroli, M.: The multidisciplinary patterns of interaction from sciences to computer science. In: Goldin, et al. (eds.) [3], pp. 395–414

    Google Scholar 

  14. Pawlak, Z.: Information systems - theoretical foundations. Information Systems 6, 205–218 (1981)

    Article  MATH  Google Scholar 

  15. Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning about Data, System Theory, Knowledge Engineering and Problem Solving, vol. 9. Kluwer Academic Publishers, Dordrecht (1991)

    Book  Google Scholar 

  16. Pedrycz, W., Skowron, S., Kreinovich, V. (eds.): Handbook of Granular Computing. John Wiley & Sons, Hoboken (2008)

    Book  Google Scholar 

  17. Skowron, A., Stepaniuk, J.: Hierarchical modelling in searching for complex patterns: Constrained sums of information systems. Journal of Experimental and Theoretical Artificial Intelligence 17, 83–102 (2005)

    Article  MATH  Google Scholar 

  18. Skowron, A., Stepaniuk, J., Jankowski, A., Bazan, J.G., Swiniarski, R.: Rough set based reasoning about changes. Fundamenta Informaticae 119(3-4), 421–437 (2012)

    MathSciNet  Google Scholar 

  19. Skowron, A., Stepaniuk, J., Swiniarski, R.: Modeling rough granular computing based on approximation spaces. Information Sciences 184, 20–43 (2012)

    Article  Google Scholar 

  20. Skowron, A., Suraj, Z. (eds.): Rough Sets and Intelligent Systems. Professor Zdzislaw Pawlak in Memoriam. Series Intelligent Systems Reference Library. Springer (2013)

    Google Scholar 

  21. Skowron, A., Szczuka, M.: Toward interactive computations: A rough-granular approach. In: Koronacki, J., Raś, Z.W., Wierzchoń, S.T., Kacprzyk, J. (eds.) Advances in Machine Learning II. SCI, vol. 263, pp. 23–42. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  22. Skowron, A., Wasilewski, P.: Information systems in modeling interactive computations on granules. Theoretical Computer Science 412(42), 5939–5959 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  23. Skowron, A., Wasilewski, P.: Interactive information systems: Toward perception based computing. Theoretical Computer Science 454, 240–260 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  24. Vapnik, V.: Statistical Learning Theory. John Wiley & Sons, New York (1998)

    MATH  Google Scholar 

  25. Zadeh, L.A.: Fuzzy sets and information granularity. In: Advances in Fuzzy Set Theory and Applications, pp. 3–18. North-Holland, Amsterdam (1979)

    Google Scholar 

  26. Zadeh, L.A.: Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy Sets and Systems 90, 111–127 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  27. Zadeh, L.A.: A new direction in AI: Toward a computational theory of perceptions. AI Magazine 22(1), 73–84 (2001)

    Google Scholar 

  28. Zhong, N., Ma, J.H., Huang, R., Liu, J., Yao, Y., Zhang, Y.X., Chen, J.: Research challenges and perspectives on Wisdom Web of Things (W2T). The Journal of Supercomputing 64, 862–882 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer International Publishing Switzerland

About this paper

Cite this paper

Jankowski, A., Skowron, A., Swiniarski, R. (2013). Interactive Rough-Granular Computing in Wisdom Technology. In: Yoshida, T., Kou, G., Skowron, A., Cao, J., Hacid, H., Zhong, N. (eds) Active Media Technology. AMT 2013. Lecture Notes in Computer Science, vol 8210. Springer, Cham. https://doi.org/10.1007/978-3-319-02750-0_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-02750-0_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02749-4

  • Online ISBN: 978-3-319-02750-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics