EAIS 2013 - EAIS 2013 2013 IEEE Symposium on Evolving and Adaptive Intelligent Systems

Website ieee-ssci.org | Edit Freely

Category EAIS 2013

Deadline: October 10, 2012 | Date: April 16, 2013-April 19, 2013

Venue/Country: Singapore, Singapore

Updated: 2011-08-26 17:51:20 (GMT+9)

Call For Papers - CFP

2013 IEEE Symposium on Evolving and Adaptive Intelligent Systems

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. EAIS'13 continues the tradition set by the previous forums (EFS'06, GEFS'08, ESDIS'09, EIS'10) and is supported and organised by the Adaptive and Evolving Fuzzy Systems (AEFS) Task Force, FSTC, CIS, IEEE.

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

Keynote, Tutorial and Panel Sessions

Please forward your proposals with detailed abstract and bio-sketches of the speakers to Symposium Co-Chairs and SSCI Keynote-Tutorial Chair, Dr S Das.

Special Sessions

Please forward your special session proposals to Symposium Co-Chairs.

Symposium Co-Chairs

Plamen Angelov, Lancaster University, UK

Dimitar Filev, Ford, USA

Nikola Kasabov, Aukland University of Technology, New Zealand

Program Committee (tentative)

Adel Alimi

Plamen Angelov (Chair)

Jose Rubio Avila

Abdelhamid Bouchachia

Richard Duro

Panagiotis Chountas

Damien Coyle

Dimitar Filev (co-Chair)

Mario Gongora

Fernando Gomide

Antonio Medina Hernandez

Jose Iglesias

Janusz Kacprzyk

Petr Kadlec

Ilhem Kallel

Nik Kasabov (co-Chair)

Vitaliy Kolodyazhniy

Andre Lemos

Zsofia Lendek

Edwin Lughofer

Witold Pedrycz

Fernando Pouzols

Ignacio Rojas

Joao Sousa

Gancho Vachkov

Ronald Yager

Xiaojun Zeng