-------- Original-Nachricht -------- Betreff: [computational.science] CFP: Special Session Datum: Sat, 18 Oct 2008 18:36:52 +0200 Von: Hamid Bouchachia hamid@isys.uni-klu.ac.at Organisation: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com

[Apologies if you receive multiple copies of this CFP]

*Call for papers: * *Special Session* on: Learning and Adaptivity in Agent Technology http://www.ieee-ssci.org/index.php?q=node/18

To be held in the framework of the IEEE International Congress on Intelligent Agents http://www.ieee-ssci.org/index.php?q=node/18 * - IEEE Symposium Series on Computational Inteligence 2009 -*

March 30 -- April 2, 2009 Sheraton Music City Hotel, Nashville, TN, USA

*Scope* Learning and adaptivity and are fundamental issues in developing and implementing reasoning in agent-based applications. Relying on metaphors of nature, these issues are inspired from the two-fold biological and cognitive plausibility which is the basis for many computational models such as neural networks, evolutionary computation, probabilistic reasoning and many other softcomputing and machine learning models.

The intelligence of agents is largely attributed to their ability to continually learn and self-adapt to the environment. This becomes crucial when the environment dynamically changes over time. Therefore, agents should self-adjust as new perceptions, facts and forces take place in the system. Because of this dynamicity, agents evolving in a multi-agent infrastructure are required to be not only individually intelligent but also should contribute to the collective intelligence of the system. That is, the collective behavior must emerge via mechanisms of adaptation and self-organization.

The aim of this Special Session is to present the recent advances and to discuss the new directions in this area of research. _Accepted papers will be published either in a special issue or a book_.

Expected topics include (but not limited to):

* On-line learning algorithms * Adaptivity in changing environments * Evolution and learning in changing environments * Learning and Adaptive reasoning * Reactive agents and adaptivity * Coordination and self-organization * Learning and Adaptivity in: o Revision theory o Situation theory o Game theory, etc. * Perception and evolution * Adaptivity and learning models in computational intelligence: o Neural networks o Evolutionary computation o Swarm intelligence o Uncertainty and fuzziness modeling, etc * Adaptivity and learning in applications o Smart systems o Ambient and ubiquitous environments o Distributed intelligence o Robotics o Internet o E-commerce, etc.

* Special session organizer* Dr. Abdelhamid Bouchachia Department of Informatics, University of Klagenfurt, Austria hamid@isys.uni-klu.ac.at mailto:hamid@isys.uni-klu.ac.at