Our Goal
The goal of the IEEE SMC Evolving Intelligent Systems (eIS) Committee is to advance research and development in continuous and adaptive learning methods that enable intelligent systems to evolve autonomously in real-time and dynamic environments. This includes computationally efficient algorithms and models for online learning, incremental adaptation, and real-time decision making, with applications spanning evolvable classifiers, predictors, controllers, decision trees, fuzzy logic and neuro-fuzzy systems, neural networks and hybrid architectures. Interdisciplinary perspectives that address cognitive and psychological aspects of the evolution of individual systems are equally of interest.
Books
Handbook on Computational Intelligence In 2 Volumes.
Published May 2016
Pages: 964
Intelligent Systems’2014: Proceedings of the 7th IEEE International Conference Intelligent Systems IS’2014, September 24‐26, 2014
ISBN:978-3-319-11312-8
Pages: 864
Advances in Computational Intelligence Systems
Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK
Advances in Big Data
Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece
Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change
Proceedings of the International Conference of ICT for Adapting Agriculture to Climate Change (AACC’17)
November 22-24, 2017
Popayán, Colombia
Autonomous Learning Systems: From Data Streams to Knowledge in Real-time
ISBN: 978-1-119-95152-0
January 2013
298 pages
Evolving Intelligent Systems: Methodology and Applications
ISBN: 978-0-470-56996-2
April 2010
Wiley-IEEE Press
464 pages
Join Us
We welcome researchers, practitioners, and students with an interest in Evolving Intelligent Systems to join our community. If you would like to become involved in our activities, please contact the TC Chair.
TC Leadership
