Special Session
Evolving and Adaptive Fuzzy Systems
The concept of evolving and adaptive fuzzy systems was established during the last decade as a synergy between fuzzy rule-based systems as structures for information representation and real time methods for autonomous machine learning. This emerging area of research targets non-stationary processes by developing novel and efficient 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 systems with a higher level of their structure and knowledge of the environment. That is, the system must be able to evolve, to self-develop, to self sensor networks, assisted ambient intelligence, embedded soft computing diagnostics prognostics algorithms, intelligent agents, smart evolving sensors; autonomous robotic systems etc. are some of the natural implementation areas of evolving and adaptive intelligent systems.
This special session aims
to bring together old friends and experienced industry-based and academic
researchers with enthusiastic newcomers. It supported and organised by the
Task Force Adaptive and Evolving Fuzzy Systems (AEFS) Computational Intelligence
Society, IEEE.
All accepted papers will be published in the Proceedings
and selected authors will be invited to submit extended papers for a special
issue of the journal Evolving Systems
Jose Rubio Avila
Abdelhamid Bouchachia
Richard Duro
Fernando Gomide
Jose Iglesias
Janusz Kacprzyk
Andre Lemos
Edwin Lughofer
Witold Pedrycz
Fernando Pouzols
Ignacio Rojas
Joao Sousa
Gancho Vachkov
Ronald Yager
Xiaojun Zeng