Call for papers

Rough set theory is closely related to knowledge technology in a variety of forms such as knowledge discovery, approximate reasoning, intelligent and multi-agent system design, knowledge intensive computations, cognitive science and medicine. The cutting-edge knowledge technologies have great impact on learning, pattern recognition, machine intelligence, automation, transformation, communication, exploration and exploitation of knowledge. A principal break-through of such technologies is the utilization of methodologies that facilitate knowledge processing.

The major objectives of the conference are to present the state-of-the-art scientific results, encourage academic and industrial interaction, and promote collaborative research in rough sets and knowledge technology worldwide. The 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009) will be held in Gold Coast, Australia, July 14-16 2009. Previously, we have successfully organised the RSKT'08 (Chengdu, China), JRS'07 (RSKT'07 together with RSFDGrC'07) (Toronto, Canada) and RSKT'06 (Chongqing, China).

All accepted papers will be published in the conference proceedings in the series of Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence (LNCS/LNAI). Extensions of selected papers from the RSKT2009 proceedings will be considered for publication in special issues of THREE  international journals, Fundamental Informatics (EI, SCI indexed), International Journal of Computational Intelligence Systems (SCI indexed), and Mathematical Problems in Engineering (SCI indexed).

Topics

(included, but are not limited to)

Rough Sets and Computing Theory
 
Autonomy-oriented Computing
Evolutionary Computing
Fuzzy Sets and Computing
Granular Computing
Grid and Cooperative Computing
Intelligent Computing
Molecular and Quantum Computing
Neural Computing
Reliable Computing
Rough Sets and Computing
Soft Computing

Knowledge Technology

Automated Reasoning
Concept Formation and Learning
Conceptual Maps
Data Mining
Formal Concept Analysis
Intelligent Data Analysis
Knowledge Engineering
Knowledge Retrieval
Knowledge Theory
Logics
Machine Learning

Cognitive Neuroscience and Technology

Imaging Modalities for Cognition
Technologies for Human Vision
Brain-machine Interfaces
Clinical Monitoring EEG, TMS etc
Cybernetics
Bio-statistics and Data Mining
Systems Biology
Genomics and Proteomics
Novel Biosensing Modalities
Micro- and Nano-biosensors
Imaging Neuroscience
Neurology and Signal Processing
Theoretical and Computational Neuroscience
Neural Control and Rehabilitation

Computing Intelligence

Computer Vision and Perception
Intelligent Agents and Multiagents
Intelligent Control and Modelling
Pattern Recognition
Robotics
Speech Recognition

Intelligent Information Processing

Artificial Intelligence
Artificial Life
Bioinformatics
Brain Informatics
Cognitive Informatics
Cognitive Information Processing
Intelligence Science
Natural Intelligence
Neural Informatics
Natural Language Processing
Web Intelligence

Applications

Digital City and Digital Interactivity
Intelligent Agriculture
Intelligent Bio-Medical
Intelligent CAD
Intelligent Communications
Intelligent Education
Intelligent Environmental Engineering
Intelligent Games
Intelligent Information Security
Intelligent Management
Intelligent Manufacture and Automation
Intelligent Power
Intelligent Telecommunications
Intelligent Transportation
Artificial Intelligence in Medicine Science
Medical Web Intelligence and telemedicine
Medical Knowledge Networks and Management
Data Mining in Medicine
Image Reconstruction
Image Segmentation and Analysis