The EALS 2018 Symposium will be a focal point for presentation of the recent advanced research results and industrial applications in the area of evolving and autonomously learning systems. The role of autonomous learning from (big) data (streams) is growing with the exponential explosion of amounts, complexity and hetero-genuous nature of the data we are living through. The traditional methods of machine learning, probabilistic and even computational intelligence techniques such as neural networks and fuzzy sets and systems require in practice a lot of handcrafting, make restrictive assumptions and are often not directly applicable to dynamically changing, evolving data with non-stationary properties, of hetero-genuous nature (mixing signals, image/video, text), categorical variables, etc. Extracting autonomously interpretable models which are not fixed, but dynamically evolving is a key challenges to be addressed. The Symposium has established track record and aims to keep and build upon this with the current event, EALS 2018.

New Adaptive and Evolving Learning Methods:

•    Evolving in Dynamic Environments
•    Drift and Shift in Data Streams
•    Self-monitoring Evolving Systems
•    Evolving Decision Systems / Evolving Perceptions
•    Self-organising Systems/ Evolving Neuro-fuzzy Systems
•    Neural Networks with Evolving Structure
•    Non-stationary Time Series Prediction with ES
•    Automatic Novelty Detection in Evolving Systems
•    Stability, Robustness, Unlearning Effects
•    Structure Flexibility and Robustness in Evolving Systems
•    Evolving Fuzzy Clustering Methods
•    Evolving Fuzzy Rule-based Classifiers
•    Evolving Intelligent Systems for Time Series Prediction
•    Evolving Intelligent System State Monitoring and Prognostics
•    Evolving Intelligent Controllers
•    Evolving Fuzzy Decision Support Systems
•    Evolving Consumer Behaviour Models

Real-world application:

•    Robotics and Control Systems
•    Industrial Applications
•    Data Mining and Knowledge Discovery
•    Intelligent Transport
•    Bio-Informatics
•    Defence

Rashmi Dutta Baruah	IIT, India
Abdelhamid Bouchachia	University of Bournemouth, UK
Bruno Sielly Jales Costa	IFRN, Brazil
Richard Duro	niversity of La Coruna, Spain
Fernando Gomide	University of Campinas, Brazil
Xiaowei Gu	Lancaster University, UK
Lazaros Iliadis	Aristotle University of Thessaloniki, Greece
Jose Antonio Iglesias	University Carlos III, Spain
Janusz Kacprzyk	Polish Academy of Sciences, Poland
Dmitry Kangin	University of Exeter, UK
Edwin Lughofer	University of Linz, Austria
Moamar Sayed Mouchaweh	University of Reims, France
Radu-Emil Precup	Polytechnic Univ. of Timisoara, Romania
Witold Pedrycz	University of Alberta, Canada
Araceli Sanchis	University Carlos III, Madrid, Spain
Igor Skrjanc	University of Ljubljana, Slovenia
Gancho Vachkov	South Pacific University, Fiji
Di Wang	Khalifa University, UAE
Ronald Yager	Iona College, NY, USA
Xiaojun Zeng	Manchester University, UK