2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)
The truly intelligent systems should be dynamically evolving and be able to adapt and learn autonomously. 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-autonomously learn and 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. EAIS’13 continues the tradition set by the previous forums (EFS’06, GEFS’08, ESDIS’09, EIS’10, EAIS-2011, EAIS-2012) and is supported and organized by the Adaptive and Evolving Fuzzy Systems (AEFS) Task Force, FSTC, CIS, IEEE. The next year Symposium will be held 2-4 June 2014 in Linz, Austria. Welcome to Singapore! Wishing you a productive and joyful stay. Looking forward to the next meeting in Linz next year.