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

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: 2017 - 2021
Objective of the project is to contribute to theoretical and algorithmic development of cooperation and negotiation under complexity and uncertainty. The desired theory should be applicable to decentralised dynamic decision making under a flat cooperation structure without pre-coordination. It will support single agent acting within a network of strategically interacting agents.
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.
Duration: 2016 - 2018
Systems of partial differential equations (PDE) and ordinary differential equations (ODE) are studied from the point of view of Dynamical systems methods. Many problems from biology, chemistry, mechanics, control, information transmission, economics and other fields are changing in time and so they can be described by different types of Dynamical systems.
Duration: 2014 - 2017
This proposal brings together experts in information theory with experts in atmospheric dispersion modelling, to tackle a particularly difficult and highly relevant scientific problem.
Duration: 2014 - 2016
The project aims to develop a dynamic distributed estimation framework, intended for fully distributed low-cost parameter estimation of stationary signals and reduced-complexity tracking of nonstationary processes.
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.
Fakulta informačních technologií ČVUT
Fakulta jaderná a fyzikálně-inženýrská ČVUT
Fakulta informatiky a statistiky VŠE
Fakulta informačních technologií ČVUT
Vysoká škola polytechnická Jihlava