ŠPERKA, Roman and Dominik MUSIL. Decision Function Implementation in MAREA Simulations Influencing Financial Balance of Small-Sized Enterprise. In Smart Innovation, Systems and Technologies. Agent and Multi-Agent Systems: Technologies and Applications. Switzerland: Springer International Publishing AG, 2017, p. 133-142. ISBN 978-3-319-59393-7.
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Basic information
Original name Decision Function Implementation in MAREA Simulations Influencing Financial Balance of Small-Sized Enterprise
Authors ŠPERKA, Roman (703 Slovakia, belonging to the institution) and Dominik MUSIL (203 Czech Republic).
Edition Switzerland, Smart Innovation, Systems and Technologies. Agent and Multi-Agent Systems: Technologies and Applications. p. 133-142, 10 pp. 2017.
Publisher Springer International Publishing AG
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Confidentiality degree is not subject to a state or trade secret
Publication form storage medium (CD, DVD, flash disk)
WWW URL
RIV identification code RIV/47813059:19520/17:00010797
Organization unit School of Business Administration in Karvina
ISBN 978-3-319-59393-7
Keywords in English Multi-agent system; Framework; Model; Simulation; Software; Business process; Trading; MAREA
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 7/2/2020 10:57.
Abstract
The aim of this paper is to present the use of a decision function in the implemen-tation of a multi-agent simulation model of a small-sized enterprise dealing with trading. The subject of the presented research are simulation experiments in MAREA software framework, which was designed to simulate trading behaviour of a trading company. Firstly, we present a multi-agent system and a mathemati-cal description of a decision function, which is used to establish the price of trad-ed goods. Secondly, we present MAREA software framework and lastly we dis-cuss the simulation results of company dealing with retailing of fluorescence col-ours. The results obtained show that simulation experiments in MAREA could be used to support the decision-making process of a management of trading compa-nies in the scope of predicting key performance indicators and changes of param-eters and their impact on the company's financial balance.
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