Institute of Information Theory and Automation

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Department of Adaptive Systems

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286890420
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The Department of Adaptive Systems focuses predominantly on the design of decision-making systems, which modify their behavior according to the changing properties of their environment. This essential ability – adaptivity – enhances their efficiency. Decades of research have brought a number of conceptual, theoretical, algorithmic, software and application results. The applicability of adaptive systems is currently being extended toward complex scenarios by improving the classical adaptive systems and by developing their new versions.

The departmental “know-how” serves to resolve national as well as international research projects, running in collaboration with industry and government agencies. The interplay between theory and limited computing power is the common issue linking the various project domains. They include traffic control, management and control of technological systems, radiation protection, nuclear medicine, analysis of financial data, electronic democracy, etc. The increasing complexity of the problems addressed directs the main stream of the research toward decentralized control of large-scale systems and normative decision-making with multiple participants.

2019-10-03 13:46

Department detail

2023-09-13
13.9.2023 po těžké nemoci odešel náš vážený kolega a kamarád pan Ing. Jindřich Bůcha, CSc.Bude nám všem velmi chybět..
Ing. Lubomír Bakule CSc.
Ing. Květoslav Belda Ph.D.
Ing. Josef Böhm CSc.
Ing. Antonie Brožová
Ing. Jindřich Bůcha CSc.
Doc. Ing. Kamil Dedecius Ph.D.
Dr. Siavash Fakhimi Derakhshan Ph.D.
Ing. Tatiana Valentine Guy Ph.D.
Ing. Jitka Homolová Ph.D.
Ing. Adam Jedlička
RNDr. Ladislav Jirsa Ph.D.
Ing. Miroslav Kárný DrSc.
Ing. Lenka Kuklišová Pavelková Ph.D.
Ing. Václav Mácha
Bc. Soňa Molnárová
Bc. Pavla Hermína Neuner
Ing. Petr Pecha CSc.
Ing. Marko Ruman
Ing. Tereza Siváková
Doc. Ing. Václav Šmídl Ph.D.
Ing. Ondřej Tichý Ph.D.
Ing. Petr Zagalak CSc.
Duration: 2022 - 2026
The aim of the project is to promote understanding of complex interactions and the dynamics of decision making (DM) under complexity and uncertainty. The theory under consideration should be applicable to dynamic DM and interaction within a flat structure without any coordination. It will support modelling a living agent acting within a complex network of interacting heterogeneous agents.
Duration: 2020 - 2022
Blind inverse problems (i.e. inverse problems with unknown parameters of the forward model) are well studied for models with uniform grids, such as blind image deconvolution or blind signal separation. Recently, new methods of learning of non-linear problems with differentiable nonlinearities (i.e.
Duration: 2018 - 2021
The proposed project aims to contribute to theoretical and algorithmic development of cooperation and negotiation aspects while respecting agent imperfection and deliberation. The targeted solution should be applicable to decentralised dynamic DM under complexity and uncertainty. It will support a single agent acting within a network of strategically interacting agents.
Duration: 2018 - 2020
Optimal processing of distributed knowledge is key agenda in machine learning, signal processing and control, driven by sensor networks for smart environments, autonomous agents and distributed infrastruktures (clouds, Internet) serving the tnternet of things. Nodes may communicate via partially specied probability distributions (moments, etc.).
Duration: 2018 - 2020
Anomaly detection, which aims to identity samples very different from majority, is an important tool of unsupervised data analysis. Currently, most methods for anomaly detection use relatively simple shallow models without any complex layers and hierarchies.
Ing. Antonie Brožová
Ing. Zdenek Junek
Ing. Václav Mácha
Ing. Václav Mácha
Ing. Marko Ruman
Ing. Tereza Siváková
Ing. Vít Škvára
Faculty of applied sciences Ukrainian Catholic University
Fakulta jaderná a fyzikálně-inženýrská ČVUT
Fakulta jaderná a fyzikálně-inženýrská ČVUT
Fakulta jaderná a fyzikálně-inženýrská ČVUT
Vysoká škola polytechnická Jihlava
Fakulta jaderná a fyzikálně-inženýrská ČVUT
The GAMENET Conference 2019 , 2019-11-21
The aim of this event concluding the second year of COST Action European Network for Game Theory GAMENET is to present, discuss and share the progress on research made in the working groups of GAMENET:
NIPS 2016 Workshop , 2016-12-09
An international workshop in conjunction with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016)IMPERFECT DECISION MAKERS: ADMITTING REAL-WORLD RATIONALITYDecember 9, 2016, Barcelona, Spain
ECML Workshop on Scalable Decision Making: Uncertainty, Imperfection, Deliberation , 2013-09-23
An international workshop in conjunction withthe European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013)Scalable Decision Making: Uncertainty, Imperfection, Deliberation (...
NIPS Workshop Decision Making with Multiple Imperfect Decision Makers , 2011-12-16
more info: www.utia.cz/NIPSHomeYou are invited to participate in the NIPS Workshop DECISION MAKING WITH MULTIPLE IMPERFECT DECISION MAKERS in conjunction with the 25th Annual Conference on Neural Information Processing Systems, which is...
NIPS Workshop Decision Making with Multiple Imperfect Decision Makers , 2010-12-10
more info: www.utia.cz/NIPSHome NIPS Workshop DECISION MAKING WITH MULTIPLE IMPERFECT DECISION MAKERS at the 24th Annual Conference on Neural Information Processing Systems successfully took place. The Workshop proceedings can be found...
10th International PhD Workshop, Young Generation Viewpoint , 2009-09-22
10th International PhD Workshop, Young Generation Viewpoint took place. Presentations from this workshop are on http://as.utia.cas.cz/phd2009.