Multi-agent System in Smart Econometric Environment

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F19%3A79554" target="_blank" >RIV/60460709:41110/19:79554 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-030-30329-7_38" target="_blank" >http://dx.doi.org/10.1007/978-3-030-30329-7_38</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-30329-7_38" target="_blank" >10.1007/978-3-030-30329-7_38</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Multi-agent System in Smart Econometric Environment

Popis výsledku v původním jazyce

The complexity of current economic phenomena and their analysis requires increasingly complex methods of both statistical and mathematical nature. In this article, we present the idea of using a multi-agent paradigm to process an econometric analysis more efficiently. We present a conceptual model of multi-agent system (MAES) to support econometric tasks. This concept is shown on the procedure of verification of the prognostic properties in a multi-agent system. We consider three agents, which calculate the normalized deviations for each time series. In our case study, the agent sends the entire pivot table to the decision component in the multi-agent system and the result of the prognostic properties verification of its econometric model. Our MAES proposal has four additional components: econometric data component, sensing data component, data processing agent, decision-making component and environment.

Název v anglickém jazyce

Multi-agent System in Smart Econometric Environment

Popis výsledku anglicky

The complexity of current economic phenomena and their analysis requires increasingly complex methods of both statistical and mathematical nature. In this article, we present the idea of using a multi-agent paradigm to process an econometric analysis more efficiently. We present a conceptual model of multi-agent system (MAES) to support econometric tasks. This concept is shown on the procedure of verification of the prognostic properties in a multi-agent system. We consider three agents, which calculate the normalized deviations for each time series. In our case study, the agent sends the entire pivot table to the decision component in the multi-agent system and the result of the prognostic properties verification of its econometric model. Our MAES proposal has four additional components: econometric data component, sensing data component, data processing agent, decision-making component and environment.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Intelligent Systems Applications in Software Engineering. CoMeSySo 2019. Advances in Intelligent Systems and Computing, vol 1046

ISBN

978-3-030-30328-0

ISSN

—

e-ISSN

2194-5365

Počet stran výsledku

9

Strana od-do

434-442

Název nakladatele

Springer Nature Switzerland AG

Místo vydání

Cham

Místo konání akce

Online

Datum konání akce

3. 10. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—