EALS 2014 - IEEE Symposium on Evolving and Autonomous Learning Systems (EALS 2014)

The true intelligent systems should be dynamically evolving and be able to adapt and learn. The concept of evolving intelligent systems was established recently as a 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. 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 evolving and adaptive intelligent systems.
Topics
New Adaptive and Evolving Learning Methods
Stability, Robustness, Unlearning Effects
Structure Flexibility and Robustness in Evolving Systems
Evolving in Dynamic Environments
Drift and Shift in Data Streams
Self-monitoring Evolving Systems
Evolving Decision Systems
Evolving Perceptions
Self-organising Systems
Neural Networks with Evolving Structure
Non-stationary Time Series Prediction with Evolving Systems
Automatic Novelty Detection in Evolving Systems
On-Line Identification of Fuzzy Systems
Evolving Neuro-fuzzy Systems
Evolving Fuzzy Clustering Methods
Evolving Fuzzy Rule-based Classifiers
Evolving Regression-based Classifiers
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 application
Robotics
Control Systems
Industrial Applications
Data Mining and Knowledge Discovery
Intelligent Transport
Bio-Informatics
Defence