Paper Info
Title
Interactive Rough-Granular Computing in Wisdom Technology
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.
Year
DOI
Venue
2013
10.1007/978-3-319-02750-0_1
AMT
Keywords
Field
DocType
interactive intelligent system,active media technology,information granule,interactions,physical object,rough sets,granular computing,complex granule
Complex system,Data mining,Computer vision,Web of Things,Intelligent decision support system,Computer science,Judgement,Rough set,Granular computing,Artificial intelligence,Analogy,Soft computing
Conference
Volume
ISSN
Citations 
8210
0302-9743
0
PageRank 
References 
Authors
0.34
12
3
Name
Order
Citations
PageRank
Andrzej Jankowski18811.79
Andrzej Skowron25062421.31
Roman W. Swiniarski372243.70