Interactive Rough-Granular Computing in Wisdom Technology

Andrzej Jankowski , Andrzej Skowron , Roman Świniarski


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.
Author Andrzej Jankowski (FEIT / IN)
Andrzej Jankowski,,
- The Institute of Computer Science
, Andrzej Skowron
Andrzej Skowron,,
, Roman Świniarski (FoEE)
Roman Świniarski,,
- Faculty of Electrical Engineering
Book Yoshida Tetsuya , Kou Gang , Skowron Andrzej, Cao Jiannong , Hacid Hakim , Zhong Ning (eds.): Active Media Technology, 9th International Conference, AMT 2013, Proceedings, Lecture Notes In Computer Science, vol. 8210, 2013, Heidelberg New York Dordrecht London, Springer International Publishing, ISBN 978-3-319-02749-4, [978-3-319-02750-0], 433 p., DOI:10.1007/978-3-319-02750-0
front_matter-amt.pdf / 1.55 MB / No licence information
Keywords in Englishgranular computing rough sets interactions information granule physical object complex granule interactive intelligent system active media technology
Languageen angielski
Score (nominal)15
Score sourceconferenceIndex
ScoreMinisterial score = 10.0, 21-07-2020, BookChapterSeriesAndMatConfByIndicator
Ministerial score (2013-2016) = 15.0, 21-07-2020, BookChapterSeriesAndMatConfByIndicator
Publication indicators GS Citations = 4.0
Citation count*4 (2016-09-06)
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