IEEE Symposium Series on Computational Intelligence 2009

2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems

The newly established concept of evolving intelligent systems (eIS) is a result of the synergy between conventional systems, neural networks and fuzzy systems as structures for information representation and real time methods for machine learning. This emerging area targets non-stationary processes by developing novel on-line learning methods and computationally efficient algorithms for real-time applications. One of the important research challenges today is to develop methodologies, concepts, algorithms and techniques towards the design of intelligent systems with a higher level of flexibility and autonomy, so that the systems can evolve their structure and knowledge of the environment and ultimately – evolve their intelligence. To address the problems of modelling, control, prediction, classification and data processing in a dynamically changing and evolving environment, a system must be able to fully adapt its structure and adjust its parameters, rather than use a pre-trained and a fixed structure. That is, the system must be able to evolve, to self-develop, to self-organize, to self-evaluate and to self-improve. Wireless sensor networks, assisted ambient intelligence, embedded soft computing diagnostics and prognostics algorithms, intelligent agents, smart evolving sensors; autonomous robotic systems etc. are some of the natural implementation areas of eIS as a realistic and practical tool for design of real time intelligent systems.

ESDIS’09 will become the second (after EFS’06) in a series of highly successful events dedicated to serving the needs of academics and practitioners in computational intelligence focusing on evolving and self-adaptive systems. It will also be supported and organised by the Adaptive Fuzzy Systems Task Force, FSTC, CIS, IEEE. The objective of ESDIS’09 is to facilitate the promotion of novel problems, research, results and future directions in the emerging area of eIS. ESDIS’09 will provide an opportunity to meet old friends, making new contacts and exchange ideas as well as to establish links with other related areas in the SSCI grand event.

The workshop programme (without being limited to) will focus on:

Evolving Fuzzy Rule-Based Systems
• On-Line Identification of Fuzzy Systems
• Evolving Neuro-Fuzzy Systems and Models
• New Learning Methods
• Stability, Robustness, Unlearning effects
Evolving Fuzzy Clustering and Classification
• Evolving Fuzzy Clustering Methods
• Evolving Fuzzy Rule-based Classifiers
• Evolving Regression-based Classifiers
• Evolving Techniques to address ‘concept drift’ and ‘concept shift’
Evolving Prognostics and Control Methods
• Evolving Intelligent Systems for Time Series Prediction
• Evolving Intelligent System State Monitoring and Prognostics Methods
• Evolving Intelligent Controllers
• Evolving Fuzzy Decision Support Systems
• Evolving Consumer Behaviour Models
Real-world applications
• Robotics
• Control Systems
• Industrial Applications
• Data Mining and Knowledge Discovery
• Intelligent Transport
• Defence
• Bioinformatics

Program Chairs:
Plamen Angelov, Lancaster University, U.K.
Dimitar Filev, Ford, USA
Nikola Kasabov, Auckland University of Technology, New Zealand

Programme Committee:
José de Jesús Rubio Avila, UAM-Azcapotzalco, México
Rosangela Ballini, UNICAMP, Brazil
Meg Jo Er, Nanyang University of Technology, Singapore
Fernando Gomide, UNICAMP, Brazil
Janusz Kacprzyk, Polish Academy of Sciences, Poland
Edwin Lughofer, Johannes Kepler University, Austria
Witold Pedrycz, University of Alberta, Canada
Gancho Vachkov, Kagawa University, Japan
Jose Victor Ramos, Polytechnic Institute of Leiria, Portugal
Ronald R. Yager, Iona College, USA
Hani Hagras, University of Essex, UK