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Interactive Rough-Granular Computing in Wisdom Technology

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Active Media Technology (AMT 2013)

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

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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.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warsaw, Poland

    Andrzej Jankowski

  2. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

  3. Department of Computer Science, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182, USA

    Roman Swiniarski

  4. Institute of Computer Science Polish Academy of Sciences, Jana Kazimierza 5, 01-248, Warsaw, Poland

    Roman Swiniarski

Authors
  1. Andrzej Jankowski
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  2. Andrzej Skowron
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  3. Roman Swiniarski
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Editor information

Editors and Affiliations

  1. Graduate School of Information Science and Technology, Hokkaido University, N-14 W-9, 060-0814, Sapporo, Japan

    Tetsuya Yoshida

  2. Southwestern University of Finance and Economics, Chengdu, China

    Gang Kou

  3. Institute of Mathematics, University of Warsaw, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

  4. Hong Kong Polytechnic University, Kowloon, Hong Kong

    Jiannong Cao

  5. Bell Labs, Paris, France

    Hakim Hacid

  6. Department of Life Science and Informatics, Maebashi Institute of Technology, 460-1 Kamisadori-cho, 371-0816, Maebashi, Gunma, Japan

    Ning Zhong

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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

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  • 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

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