Paper Info
Title
Rough-Granular Computing in Human-Centric Information Processing.
Abstract
In the area of ubiquitous computing, users will continuously interact with computing devices by suggesting strategies, hypothesis, by communicating some new facts from domain knowledge, explaining untypical cases in dialogs with devices (agents), etc. Hence, compound vague concepts used by humans should be understandable, at least in an approximate sense, by these devices. We discuss some basic issues of interactive computations in the framework of rough-granular computing for approximation of complex concepts. Among these issues are hierarchical modeling of granule structures and interactions between granules of different complexity. Interactions between granules on which computations are performed are among the fundamental concepts of Wisdom Technology (Wistech). Wistech is encompassing such areas as interactive computations, multiagent systems, cognitive computation, natural computing, complex adaptive and autonomous systems, or knowledge representation and reasoning about knowledge. We outline current results on approximation of compound vague concepts which are based on rough-granular computing. In particular, hierarchical methods are used for approximation of domain ontologies of vague concepts. The developed methodology has been tested on real-life problems related to such areas as unmanned area vehicle control, robotics, predicting of risk patterns from temporal medical and financial data, sun spot classification, bioinformatics.
Year
DOI
Venue
2009
10.1007/978-3-540-92916-1_1
MAN-MACHINE INTERACTIONS
Keywords
Field
DocType
rough sets,granular computing,rough-granular computing,judgment,interaction,wisdom technology (Wistech)
Ontology (information science),Natural computing,Knowledge representation and reasoning,Information processing,Domain knowledge,Computer science,Theoretical computer science,Multi-agent system,Granular computing,Ubiquitous computing
Conference
Volume
ISSN
Citations 
59
1867-5662
5
PageRank 
References 
Authors
0.42
45
2
Name
Order
Citations
PageRank
Andrzej Jankowski18811.79
Andrzej Skowron25062421.31