Towards Fully Probabilistic Cooperative Decision Making

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Towards Fully Probabilistic Cooperative Decision Making

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Towards Fully Probabilistic Cooperative Decision Making

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

<a href="/cs/project/GA16-09848S" target="_blank" >GA16-09848S: Racionalita a uvažování</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Multi-Agent Systems : 16th European Conference, EUMAS 2018, Revised Selected Papers

ISBN

978-3-030-14173-8

ISSN

—

e-ISSN

—

Počet stran výsledku

16

Strana od-do

11

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Bergen

Datum konání akce

6. 12. 2018

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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