Lazy Fully Probabilistic Design: Application Potential
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F18%3A00483831" target="_blank" >RIV/67985556:_____/18:00483831 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-01713-2_20" target="_blank" >http://dx.doi.org/10.1007/978-3-030-01713-2_20</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-01713-2_20" target="_blank" >10.1007/978-3-030-01713-2_20</a>
Alternative languages
Result language
angličtina
Original language name
Lazy Fully Probabilistic Design: Application Potential
Original language description
The article addresses a lazy learning approach to fully probabilistic decision making when a decision maker (human or arti_cial) uses incomplete knowledge of environment and faces high computational limitations. The resulting lazy Fully Probabilistic Design (FPD) selects a decision strategy that moves a probabilistic description of the closed decision loop to a pre-speci_ed ideal description. The lazy FPD uses currently observed data to _nd past closed-loop similar to the actual ideal model. The optimal decision rule of the closest model is then used in the current step. The e_ectiveness and capability of the proposed approach are manifested through example.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA16-09848S" target="_blank" >GA16-09848S: Rationality and Deliberation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Multi-Agent Systems and Agreement Technologies
ISBN
978-3-030-01712-5
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
281-291
Publisher name
Springer
Place of publication
Cham
Event location
Évry
Event date
Dec 14, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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