Process Mining of a Multi-agent Business Simulator
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F18%3A00011052" target="_blank" >RIV/47813059:19520/18:00011052 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s10588-018-9268-6" target="_blank" >https://link.springer.com/article/10.1007/s10588-018-9268-6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10588-018-9268-6" target="_blank" >10.1007/s10588-018-9268-6</a>
Alternative languages
Result language
angličtina
Original language name
Process Mining of a Multi-agent Business Simulator
Original language description
A multi-agent system is a useful modelling architecture in business process modelling in the sense that we can naturally implement participants in a real company with software agents. However, analysing and interpreting the simulation results of multi-agent models tends to be difficult due to the inherent complexity of the models. In this regard, another discipline - process mining - is useful for such purposes because it has demonstrated its usefulness in analysing real processes. In this article, our aim is to combine these two disciplines for exploitation in business process modelling and simulation; we extend a multi-agent-based business simulator named MAREA (Multi-Agent system with Resource-Event-Agent ontology) to be able to be analysed by means of process mining techniques. To this end, we formalise the abstract multi-agent architecture of MAREA and establish its relationship to process mining by defining how execution of a multi-agent system can be recorded as an event log, wh ich is later analysed by process mining techniques. Based on this definition, we implement functionality to extract event logs from simulation runs in MAREA. For demonstration, we implement a model of a generic trading company in MAREA and perform process structure verification and social network analyses by means of process mining techniques.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computational and Mathematical Organization Theory
ISSN
1381-298X
e-ISSN
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Volume of the periodical
24
Issue of the periodical within the volume
4
Country of publishing house
CH - SWITZERLAND
Number of pages
32
Pages from-to
500-531
UT code for WoS article
000449967700003
EID of the result in the Scopus database
2-s2.0-85044952426