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Scalable Decision Making: Uncertainty, Imperfection, Deliberation, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013)

SYSNO ASEP	0396745
Document Type	G - Proceedings (int. conf.)
R&D Document Type	O - Ostatní
Title	Scalable Decision Making: Uncertainty, Imperfection, Deliberation, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013)
Author(s)	Guy, Tatiana Valentine (UTIA-B ed.)_{RID, ORCID} Kárný, Miroslav (UTIA-B ed.)_{RID, ORCID}
Number of authors	29
Issue data	Prague: ÚTIA AV ČR, v.v.i, 2013
ISBN	978-80-903834-8-7
Number of pages	112 s.
Number of copy	40
Publication form	Print - P
Action	European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDO 2013)
Event date	23.09.2013-27.09.2013
VEvent location	Prague
Country	CZ - Czech Republic
Event type	WRD
Language	eng - English
Country	CZ - Czech Republic
Keywords	scalable ; decision making ; uncertainty ; imperfection ; deliberation
Subject RIV	BB - Applied Statistics, Operational Research
R&D Projects	GA13-13502S GA ČR - Czech Science Foundation (CSF)
Institutional support	UTIA-B - RVO:67985556
Annotation	Machine learning (ML) and knowledge discovery both use and serve to decision making (DM), which has to cope with uncertainty, incomplete knowledge, problem and data complexity and imperfection (limited cognitive and evaluating capabilities) of the involved heterogeneous multiple participants (aka agents, decision makers, components, controllers, classifiers, etc.). Contemporary DM deals with complex systems characterised by heterogeneous components and their goal-motivated dynamic interactions. The individual participants are selfish, i.e. follow their individual goals. There is no well-justified way to influence or describe the resulting collective behaviour of such a system via a well-proved combination of the selfish components. Economic and natural sciences describe concepts governing the functioning of systems of selfish participants as well as ways influencing their behaviour. However, the majority of solutions rely on the human moderator/manager controlling such a system.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2014

Number of the records: 1