Knowledge representation and reasoning under uncertainty in expert systems - probabilistic graphical models

Head of the project: RNDr.Ing. Anna Slobodová, PhD.

Compendium of the project:

The object of the project are theoretical, mathematical problems connected with the automation of the reasoning process under uncertainty in expert systems. From the view of applications, we are interested in uncertainty cases quantifiable with probability measure. We represent knowledge (including uncertainty) as a network of states and probabilities. The problem is to develop a model capable of representing complex systems changing over time and to model such systems under a unified framework to deal with both time and uncertainty.

The goals of the project:

Selected Publications: