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Pro všechny

Práce přihlášené do Soutěže o nejlepší publikaci a aplikaci ÚTIA 2010

(v abecedním pořadí podle prvního autora)

KATEGORIE: všeobecná

[1] Daněk M., Kafka L.,  Kohout L., Sýkora J.: Instruction Set Extensions for Multi-Threading in LEON3, Proceedings of IEEE Symposium on Design and Diagnostic of Integrated Circuits and Systems 2010, Vídeň, duben 2010


  • Miroslav Kárný, Department of Adaptive Systems, Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic
  • Tatiana Valentine Guy, Department of Adaptive Systems, Institute of Information Theory and Automation,  Academy of Sciences of the Czech Republic
  • David Wolpert, Intelligent Systems Division, NASA Ames Research Center, USA
  • David Rios Insua, Royal Academy of Sciences, Spai

Multiple Participant Decision Making

Distributed dynamic decision-making and learning under uncertainty in complex and changing situations are emerging as the key competencies required to support future information-based systems. The Bayesian paradigm is acknowledged to provide a consistent and rigorous theoretical basis for joint learning and dynamic decision-making. The established theory already provides a class of efficient adaptive strategies. However, this approach fails to overcome the computational complexity barrier encountered in complex settings.

Advising: Optimized Bayesian Dynamic Advising

Quality of maintaining of complex man-machine systems very much depends on experience, skills and performance of the human decision-makers (operators) managing the system. The task is complicated by complexity and dimensionality of the system managed as well as limited abilities of the operator.

Advanced Control


Digital Self-tuning Controllers
Algorithms, Implementation and Applications

Series: Advanced Textbooks in Control and Signal Processing
Bobál, V., Böhm, J., Fessl, J., Macháček, J.

University courses

Course name Lecturer Faculty Semester
Statistical methods for estimation of uncertain systems Šmídl Fakulta elektrotechnická ZČU oba
Advanced control methods for electrical engineering applications Šmídl Fakulta elektrotechnická ZČU oba
Bayesovské metody v machine learningu Fakulta informačních technologií ČVUT letní
Dynamic Decision Making Kárný Fakulta jaderná a fyzikálně-inženýrská ČVUT zimní



Previous workshops:


Our department is actively involved in activities of Czech Society for Cybernetics and Informatics (CSKI). Specifically, one its group "Decision-Making and Control under Uncertainty" (DCU) was founded by members of AS department. The aims of this group cover the main research interests of our department.

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