Institute of Information Theory and Automation

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Projects

Dept.: AS Duration: 2016 - 2018
Rapid development of information and computer technology as well as availability of multiple, very frequently incompatible, informational sources have caused that decision makers (both humans and devices) are overloaded with information. Their imperfectness (i.e. limited cognitive, informational and evaluational capabilities) is confronted with decision making (DM) of growing complexity...
Dept.: AS Duration: 2013 - 2016
Decision making (DM) is a targeted choice of actions based on given knowledge and preferences. Normatively, Bayesian DM, maximising expected utility, should be used under uncertainty but this happens less than desirable. Often, imperfection of the DM participant can be blamed as it limits the deliberation effort spent. In economical, societal, biological and technical systems, labour division...
Dept.: AS Duration: 2008 - 2011
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)...
Dept.: AS Duration: 2006 - 2009
Knowledge elicitation from extensive data files inevitably reduces the extracted information content. Results always serve to a subsequent, often dynamic, decision making. Its quality depends critically on the reduction made. This fact is rarely respected in the extensive set of methods for knowledge extraction, often, because of the "curse of dimensionality" connected with the...
Dept.: AS Duration: 2004 - 2007
Aim 1 Development of implementable theory of Bayesian adaptive distributed decision making (DM) with multiple participants and multiple-criteria. It will provide: Fully probabilistic design (FPD) of adaptive strategies respecting changing environment and group aims. Methodology of combining experience, observed data, statistics and individual aims. Aim 2 Transformation of the theory into a...
Dept.: AS Duration: 2003 - 2005
Secondary lymphedema of upper limbs, a frequent complication after breast cancer therapy, can be successfully treated only when it is diagnosed in its early stage. Use of, otherwise well-established, lymphoscintigraphically supported staging is inhibited by a slow lymphatic dynamics of upper limbs, which allows a routine collection at most three images reflecting it. A Bayesian methodology coping...
Dept.: AS Duration: 2002 - 2007
The project proposes a timely development of Bayesian methods to support societal decision making via the mechanisms of the WWW: a true step towards e¬-democracy rather than the e¬-administration techniques that so far have lain at the heart of e-government initiatives. While our overall objective is clearly too substantial for a single programme, our specific goals are more focused. We shall...
Dept.: AS Duration: 2001 - 2003
Dept.: AS Duration: 2001 - 2003