Call for Papers
Special Session on Adaptive and Learning Multi-agent Systems
The 14th International Conference on Intelligent Data Engineering and Automated Learning
20-23 October 2013 in Heifei, China.
Multi-Agent Systems (MAS) have grown into an interdisciplinary field that includes various tracks and embraces many previously distinctive research areas. More and more MASs are situated in open and dynamic environments. The changes of environments that may be unpredictable, uncontrollable and evolving typically affect the MAS. Recently, adaptive MAS and MAS learning have become important sub-areas in the literature of MAS. Particularly, both of them investigate how multiple intelligent computational agents can work together to achieve high-level goals by adjusting themselves and obtaining more information. Various approaches have been applied to improve the adaptive and learning ability of MAS. MAS are still facing challenges of scaling to large numbers of entities and real-world tasks.
This special session on adaptive and learning multi-agent systems will provide a forum for researchers and practitioners interested in adaptation and learning for multi-agent systems, and report their latest findings.
Topics of Interest
The session includes the following (but not limited to) topics:
reinforcement and supervised learning approaches of MAS
combinations of multiple learning for MAS
integrating learning with multi-agent consultation, coordination, cooperation and competition
adaptation and learning in dynamic environments
integrating adaptation and learning in MAS
adaptation mechanisms and technologies of MAS
emergent behaviours in adaptive multiagent systems
cooperative and non-cooperative agents
agent technology applications practice and experience
cooperation with humans and robots
applications of evolutionary games in agent system
security agents, trust and reputation
multi-agent adaptive, self-organization theory
agent-based intelligent information processing
agent-based data mining
applications of adaptive and learning multiagents systems
Please follow the IDEAL 2013 instruction for authors and submit your paper via the IDEAL 2013 online submission system (http://nical.ustc.edu.cn/ideal13/submission.html)
. Please specify that your paper is for the Special Session on Adaptive and Learning Multi-agent Systems.
Accepted papers will be included in IDEAL 2013 Proceedings, which will be published by Springer Verlag in the prestigious LNCS Series, indexed in EI and DBLP.
Paper Submission Deadline: 24 May 2013
Notification of Acceptance: 5 July 2013
Camera-Ready Copy Due: 26 July 2013
Early Registration: 26 July 2013
Conference Presentation: 20-23 October 2013
Dong, Hongbin. Harbin Engineering University, China
He, Jun. Aberystwyth University, UK
Mao, Xinjun. National University of Defense Technology, China
Tong, Xiangrong. Yantai University, China