Submissions should be 4-6 pages in length and must follow the NIPS 2011 format (http://nips.cc/PaperInformation/StyleFiles). Submissions need not to be anonymous and should include the title, authors' names, postal and email addresses, and an abstract not to exceed 150 words.
The workshop will include discussed talks and poster sessions. We invite submissions of papers describing the technical content of proposed contribution. The selected submissions may be accepted either as an oral presentation or as a poster presentation. We especially encourage submissions that directly address any of the topics, but related papers are also welcomed.
We would like to inform you that Colloquium in memory of Igor Vajda will take place November 12-13, 2010, in Prague, organized by the Institute of Information Theory and Automation (ÚTIA) of the Academy of Sciences of the Czech Republic. The scientific programme is focused on the topics to which Igor Vajda have substantially contributed: the information theory and its applications to mathematical statistics. For further details and updated information please visit the conference website
Distributed dynamic decision-making and learning under uncertainty in complex and changing situations are emerging as the key competencies required to support future information-based systems. The Bayesian paradigm is acknowledged to provide a consistent and rigorous theoretical basis for joint learning and dynamic decision-making. The established theory already provides a class of efficient adaptive strategies. However, this approach fails to overcome the computational complexity barrier encountered in complex settings.
Quality of maintaining of complex man-machine systems very much depends on experience, skills and performance of the human decision-makers (operators) managing the system. The task is complicated by complexity and dimensionality of the system managed as well as limited abilities of the operator.
Digital Self-tuning Controllers Algorithms, Implementation and Applications Series: Advanced Textbooks in Control and Signal Processing Bobál, V., Böhm, J., Fessl, J., Macháček, J.