Towards Fully Probabilistic Cooperative Decision Making
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00501237" target="_blank" >RIV/67985556:_____/19:00501237 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-14174-5_11" target="_blank" >http://dx.doi.org/10.1007/978-3-030-14174-5_11</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-14174-5_11" target="_blank" >10.1007/978-3-030-14174-5_11</a>
Alternative languages
Result language
angličtina
Original language name
Towards Fully Probabilistic Cooperative Decision Making
Original language description
Modern prescriptive decision theories try to support the dynamic decision making (DM) in incompletely-known, stochastic, and complex environments. Distributed solutions single out as the only universal and scalable way to cope with DM complexity and with limited DM resources. They require a solid cooperation scheme, which har- AQ1 monises disparate aims and abilities of involved agents (human decision makers, DM realising devices and their mixed groups). The paper outlines a distributed fully probabilistic DM. Its flat structuring enables a fully-scalable cooperative DM of adaptive and wise selfish agents. The paper elaborates the cooperation based on sharing and processing agents’ aims in the way, which negligibly increases agents’ deliberation effort, while preserving advantages of distributed DM. Simulation results indicate the strength of the approach and confirm the possibility of using an agent-specific feedback for controlling its cooperation.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/GA16-09848S" target="_blank" >GA16-09848S: Rationality and Deliberation</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
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 : 16th European Conference, EUMAS 2018, Revised Selected Papers
ISBN
978-3-030-14173-8
ISSN
—
e-ISSN
—
Number of pages
16
Pages from-to
11
Publisher name
Springer
Place of publication
Cham
Event location
Bergen
Event date
Dec 6, 2018
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
—