Multi-agent System in Smart Econometric Environment
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Multi-agent System in Smart Econometric Environment
Original language description
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.
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
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Continuities
S - Specificky vyzkum na vysokych skolach
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
Intelligent Systems Applications in Software Engineering. CoMeSySo 2019. Advances in Intelligent Systems and Computing, vol 1046
ISBN
978-3-030-30328-0
ISSN
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e-ISSN
2194-5365
Number of pages
9
Pages from-to
434-442
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
Online
Event date
Oct 3, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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