Institute of Information Theory and Automation

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Sergej Čelikovský promoted as the Full Professor

Mr. Sergej Čelikovský has been promoted by the President of the Czech Republic Mr. Václav Klaus to a professorship in Technical cybernetics. The ceremony occurred in the Carolinum’s pride on Friday, 24th June 2011

Prof. Milan Mareš passed away

Milan Mareš
With regret we have to announce that Prof. Milan Mareš, our colleague and a former director of the Institute, passed away suddenly on July 25, 2011. His death came as an unexpected and heavy loss. We will miss him as a great scientist and as a dear colleague and friend.


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.


Phone: +420 26605 2201, 2202

Phone: +420 286  890 312

Fax: +420 266 050 378

Award of the Academy of Sciences of the Czech Republic for prof. Michal Haindl et al.

The Award of the Academy of Sciences of the Czech Republic for outstanding results of major scientific importance in 2011 was received by a team of authors from the Institute of Information Theory and Automation. The team led by prof. Ing. Michal Haindl, DrSc. consisting of: Ing. J. Filip, Ph.D, Ing. J. Grim, CSc., RNDr. Vojtech Havlicek, Ph.D, and Ing. M. Hatka was awarded for the scientific outcome: Mathematical modeling of visual properties of surface materials.

Differential Equations - Stochastic & Deterministic

Ivo Vrkoč will celebrate his eightieth birthday on June 10, 2011. On this occasion, Ivo’s former students and recent coauthors decided to organise a small colloquium devoted to some of the topics Ivo has contributed to significantly, namely the qualitative theory of ordinary differential equations and stochastic analysis.

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Návod na nahlášení publikace

  • Jaké druhy publikací se nahlašují? - seznam zde.
  • Typy publikací - seznam zde.
  • Jméno, heslo pro přihlášení je k dispozici v knihovně.

Bayesian Dynamic Decision Making

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:

  1. Complexity of the information processing often crosses resources accessible.
  2. Quantification of domain-specific knowledge, aims and constraints is weakly supported. It concerns mapping of domain-specific elements on probabilistic distributions (pd).
  3. Methodology of the DM with multiple aims is incomplete.

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:

  1. Inspection of conditions leading to FPD
  2. Extension of FPD to design with sets of ideal pds
  3. Design of computerized conversion of knowledge and aims into environment-describing and ideal pds
  4. Elaboration of theoretical framework for selecting cooperation tools



Active projects

Former projects

Plan of seminars

3.2.Vladimíra Sečkárová
3.3 Miroslav Kárný
7.4. Jan Přikryl
5.5. Václav Šmídl
2.6. Karel Macek
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Institute of Information Theory and Automation