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.
The workshop’s targeted audience is:
This is a one-day workshop that will follow the 24rd Annual Conference on Neural Information Processing Systems (NIPS 2010), .
The workshop will consist of two 3-hour sessions. There will be 6 invited talks by experts in the area, 4-6 contributed talks and a poster session of contributed papers. There will be time at the end of each talk/session for questions and discussion. A panel discussion moderated by the organisers is scheduled.
The UTIA's library maintains the collection of books and journals (about 33 500 bound volumes), provides an internet access to electronic publications and databases and offers inter-library loan service. The UTIA's library is a public library.
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Dynamic decision making (DM) maps knowledge into DM strategy, which ensures reaching DM aims under given constraints. Under general conditions, Bayesian DM, minimizing expected loss over admissible strategies, has to be used. Existing limitations of the paradigm impede its applicability to complex DM as:
The research aims to overcome these problems. It relies on distributed DM and fully probabilistic design (FPD) of strategies. The goal is to build a firm theoretical background of FPD of distributed DM strategies. Besides, it will enrich available results and unify them into internally consistent theory suitable for a flat cooperation structure.
This aim implies the main tasks: