bibtype	A - Abstract
ARLID	0640692
utime	20251103150649.3
mtime	20251031235959.9
title (primary) (eng)	On the role of prescriptive decision-making theory in natural sciences
specification	page_count 1 s. media_type E
serial	ARLID cav_un_epca*0640691 title Quantum Information and Decision Making in Life Sciences: Book of Abstracts part_title On the role of prescriptive decision-making theory in natural sciences page_num 26-26 publisher place Prague name Czech University year 2025 editor name1 Guy, Pelikán, Kárný, Gaj, Ružejnikov, Ruman name2 Tatiana Valentine, Martin, Miroslav, Aleksej, Jurij, Marko
keyword	decision making
keyword	knowledge acquisition
keyword	modelling tools
author (primary)	ARLID cav_un_auth*0101124 name1 Kárný name2 Miroslav institution UTIA-B full_dept (cz) Adaptivní systémy full_dept (eng) Department of Adaptive Systems department (cz) AS department (eng) AS share 100 fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source	url https://zenodo.org/records/16900460
cas_special	project project_id CA21169 agency EC ARLID cav_un_auth*0452289 abstract (eng) Decision making (DM) is the choice of an action applied to a world part in order to reach some aim. The\nprescriptive theory recommends the optimal way how to do it. The natural sciences aim to acquire\nknowledge about the natural world: they describe the world. Seemingly, the prescriptive DM offers\nnothing to them. This contribution challenges this widely adopted opinion. The corner stones of this\nchallenge are:\n• the knowledge acquisition is the DM action that has no direct influence on the world but affects those\nwho acquire it (briefly agents), who aim to model the world in the best way;\n• prescriptive DM theories models the agent-world pair as a closed loop [1,2] affected by both and\ndevelops tools for tuning the closed loop optimally: its outcome include, for instance,\n- tools explaining outcomes of dynamic interactions in closed loops [3]: such loops are present\neverywhere, and it is desirable to predict their damped, stationary or explosive behaviors,\n- learning techniques complementing missing parts of the used models [4], and also exploration\nstrategies, which include sequential stopping rules guiding experimentation with the world,\n- analysis of acting in hostile environments [5],\n- the choice of appropriate mathematical tools for describing uncertainty of any origin in knowledge-\nacquiring loop: the quantum modelling of macro-world [6,7] addressed at this conference is a hot and\nfruitful example of contemporary research in this respect. action ARLID cav_un_auth*0491465 name DYNALIFE 2025 : Conference on QUANTUM INFORMATION AND DECISION MAKING IN LIFE SCIENCES dates 20250428 mrcbC20-s 20250429 place Prague country CZ RIV BB FORD0 10000 FORD1 10100 FORD2 10101 reportyear 2026 num_of_auth 1 presentation_type PR inst_support RVO:67985556 permalink https://hdl.handle.net/11104/0371113 cooperation ARLID cav_un_auth*0322033 name Česká zemědělská univerzita v Praze, Provozně ekonomická fakulta institution PEF CZU country CZ confidential S arlyear 2025 mrcbU02 A2 mrcbU14 SCOPUS mrcbU24 PUBMED mrcbU34 WOS mrcbU63 cav_un_epca*0640691 Quantum Information and Decision Making in Life Sciences: Book of Abstracts On the role of prescriptive decision-making theory in natural sciences 26 26 Quantum Information and Decision Making in Life Sciences: Book of Abstracts Prague Czech University 2025 mrcbU67 Guy, Pelikán, Kárný, Gaj, Ružejnikov, Ruman Tatiana Valentine, Martin, Miroslav, Aleksej, Jurij, Marko 340