Institute of Information Theory and Automation

Department of Decision-Making Theory

Head of the Department:
Martin Kružík

Deputy head of the Department:
František Matúš

Secretary:
Marie Kolářová

phone: +420 286 581 419
staff: people, Ph.D. students
List of publications, courses, projects, seminars

Most of the research activities of the department belong to the field of applied mathematics. The focus is on theoretical problems as well as problems connected with implementation of methods in the following areas:

  • mathematical optimization
  • nonsmooth analysis
  • differential equations
  • variational problems
  • probabilistic models of decision support systems
  • conditional independence structures
  • alternative calculi of uncertainty in artificial intelligence

 

Last events:


BELIEF'16
podzimniPraha.jpg
The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, is a well established general framework for reasoning with uncertainty, with well understood connections to other frameworks such as probability, possibility and imprecise probability theories. First introduced by Arthur P. Dempster in the context of statistical inference, the theory was later developed by Glenn Shafer into a general framework for modeling epistemic uncertainty.
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Václav Lín has successfully defended his PhD thesis
Václav Lín has successfully defended his PhD thesis at the Faculty of Management of the University of Economics in Prague. The defence took place in Jindrichuv Hradec on August, 30, 2016. The topic of his thesis was "On sequencing problems in the management of troubleshooting operations".
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IGAIA IV
Liblický zámek

The fourth conference on Information Geometry and its Applications will be held on June 13-17, 2016, at Liblice Castle in Czech Republic. It is organized by the Institute of Information Theory and Automation of the Czech Academy of Sciences.

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Responsible for information: MTR
Last modification: 05.09.2012
Institute of Information Theory and Automation