**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

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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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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A series of Workshops on Uncertainty Processing (WUPES) has been held in the Czech Republic every third year since 1988. Proceedings from several previous workshops can be found on their websites ( WUPES'12, WUPES'09, and WUPES'06). Like the previous meetings the forthcoming Workshop will foster creative intellectual activities and the exchange of ideas in an informal atmosphere.

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Institute of Information Theory and Automation