|
Name |
Topic |
Country |
Institute |
|
J. Andrýsek |
Approximate Estimation of Dynamic Probabilistic Mixtures |
Czech Republic |
Academy of Science |
|
P. Arias |
Multiparticipant Decision Making under Incomplete Group Preference Information |
Spain |
Extremodura University |
|
A. Balbás |
Control of Complex Dynamic Systems |
Spain |
University Carlos III of Madrid |
|
K. Belda |
Model-Based Control versus Classical Control for Parallel Robots |
Czech Republic |
Academy of Science |
|
J. Bohm |
Probabilistic mixture control with multi-modal target |
Czech Republic |
Academy of Science |
|
M. Campi |
Decision making in an uncertain envinronment - the scenario based optimisation approach |
Italy |
Universita De Brescia |
|
J. Duník |
Nonlinear filtering methods: basic approaches and software package |
Czech Republic |
University of West Bohemia in Pilsen |
|
A. Guez |
Multiple Objectives Optimization Collaborative Decision Makingaborative |
USA |
Drexel University |
|
K. Schindler |
Some comparisons of the complexity of neural-network models and linear methods by means of metric entropy |
Austria |
Vienna University of Technology |
|
D. Insua |
Negotiations over continuous influence diagrams |
Spain |
Rey Juan Carlos University |
|
R. Jirousek |
Knowledge-Based Decision-Making Supported by Compositional Models |
Czech Republic |
Academy of Science |
|
L. Jirsa |
Model of 131 I Kinetics in Thyroid Gland and Its Bayesian Identification for Dose Estimation |
Czech Republic |
Academy of Science |
|
M. Kárný |
On Dynamic DecisionMaking Scenarios with Multiple Participants |
Czech Republic |
Academy of Science |
|
M. Kárný |
Framework for Multisensory Convergence |
Czech Republic |
Academy of Science |
|
J. Kracík |
Problems of Knowledge Composition - a Case Study |
Czech Republic |
Academy of Science |
|
F. Kraffer |
An example of the use of polynomial matrix equations in the design of a quadratically optimal tracker |
Czech Republic |
Academy of Science |
|
J. Kratochvílová |
Traffic control of microregion |
Czech Republic |
Academy of Science |
|
A. Mármol |
Compromise Maxmin Solutions for Multiple Criteria Bargaining |
Spain |
Seville University |
|
P. Nedoma |
Benchmars in mixture processing |
Czech Republic |
Academy of Science |
|
P. Němcová |
Filtration of Outliers on the Basis Mixture Model |
Czech Republic |
Academy of Science |
|
M. Novák |
Optimization of Controller Design Using Monte-Carlo Simulation |
Czech Republic |
Academy of Science |
|
P. Pecha |
Mathematical Modelling as a Tool for Decision Support Management |
Czech Republic |
Academy of Science |
|
A. Quinn |
Point Estimation with Hard Constraints |
Ireland |
Trinity College Dublin |
|
F. Ruggeri |
Industrial Bidding: Bayesian Models for Internal Costs Forecast |
Italy |
Italian National Research Council |
|
R. Seri |
Analytic Hierarchy Process, a Psychometric Approach |
Italy |
Italian National Research Council |
|
W. Stirling |
Satisficing Games for Multiple-Participant Coordinated Decision Making |
USA |
Brigham Young University |
|
V. Smídl |
Bayesian approximations for complex models |
Czech Republic |
Academy of Science |
|
L. Tesař |
Computationally Intensive Methods in Bayesian Model-Structure Identification |
Czech Republic |
Academy of Science |
|
D. Veit |
Agent-based Computational Economics in Power Markets – Multi-agent based Simulation as a Tool for Decision Support |
Germany |
University of Karlsruhe |
|
P. Vojtás |
Flexible querying and combination of Imperfect information |
Slovak Republic |
Technical University of Kosice |
Invited speakers: M. Campi, A. Guez, D. Insua, R. Jirousek, F. Ruggeri, D. Veit, P. Vojtás