*** Apologies for multiple copies received *** --- Call For Papers --- --------------------------------------------------------------------------- Special session on
Autonomous Learning Systems for Optimization and Control http://www.ece.stevens-tech.edu/~hhe/IJCNN2008.html 2008 International Joint Conference on Neural Networks (IJCNN 2008) 2008 IEEE Congress on Evolutionary Computation (WCCI 2008) http://www.wcci2008.org/ June 1-6, 2008 Hong Kong --------------------------------------------------------------------------- Call For Papers: Autonomous learning systems can learn optimized decision policies by active interaction with the external environment to achieve the goals. Therefore, such systems are critical for understanding and developing of highly robust, adaptive, and fault tolerant intelligent systems. Due to the complexity of many real-world application problems, such as nonlinear control, decision support systems, pattern recognition, and many others, it is a challenging task for modeling, optimization and control of highly nonlinear, large scale or networked engineering systems with information uncertainty. Autonomous learning systems provide a powerful mechanism to potentially solve such kind of problems. This special session will provide the world-wide experts and research community a platform for presenting, discussing, and identifying latest research results and important future directions in this domain. Paper submissions on new advances in theoretical aspects as well as applications of autonomous learning systems are invited. In addition, we also welcome well-written survey papers which discuss the current state-of-the-art development in this domain, or outline future research directions. Papers are invited for submission on unpublished work in the following (but not limited to) areas: Reinforcement Learning Approximate Dynamic Programming Autonomous Learning in Robotics Unsupervised Learning Learning Control Methods and Applications Neural Networks for Learning and Control Incremental Learning Swarm Intelligence and Optimization Applications in Planning and Scheduling Applications in Decision Support Systems ----------------- Important Dates: ----------------- Paper Submission: Dec 1, 2007 Acceptance Notification: Feb 1, 2008 Final Manuscript Due: Mar 1, 2008 ----------------- Paper Submission: ----------------- Manuscripts should be prepared according to the standard format and page limit specified in IJCNN 2008: 6 pages limit including figures, tables, graphs, references, etc. For more submission instructions, please see the WCCI2008 submission page at: http://www.wcci2008.org/submission.htm Please make sure that you select: Conference = IJCNN 2008 Session = Special, then select Autonomous Learning Systems for Optimization and Control The IJCNN is the premier international conference in the field of neural networks, as well as the flagship conferences for the International Neural Network Society and the IEEE Computational Intelligence Society (WCCI). All special session papers will be treated in the same way as regular papers and go through the peer-review process. The conference proceedings of IJCNN have been continuously included in the EI Compendex Database and IEEE Xplore. For latest news, please refer to www.wcci2008.org. A Web site dedicated to this special session can be accessed at: http://www.ece.stevens-tech.edu/~hhe/IJCNN2008.html If you have any questions regarding this special session, please feel free to contact the session organizer at [EMAIL PROTECTED] and [EMAIL PROTECTED] directly. We look forward to seeing you at Hong Kong in 2008! ---------------------------- Special Session Organizers: ---------------------------- Haibo He, Ph.D. Assistant Professor Department of Electrical and Computer Engineering Stevens Institute of Technology Hoboken, NJ 07030 Email: [EMAIL PROTECTED] Web: http://www.ece.stevens-tech.edu/~hhe/ Xin Xu, Ph.D., Associate Professor Institute of Automation National University of Defense Technology Changsha, P. R. China Email: [EMAIL PROTECTED] _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai