Analysis of agents' behavior in multiagent system

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F12%3A%230001838" target="_blank" >RIV/47813059:19520/12:#0001838 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/12:86084588

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of agents' behavior in multiagent system

Popis výsledku v původním jazyce

Multi-agent systems are commonly used for simulation purposes. The authors focused on agent-based technology in the business process simulation, especially on the analysis of the agent-based simulation outputs in order to facilitate the verification of the used methodology. The paper deals with an analysis of agents' behavior in multi-agent model of business processes. The main goal of the paper is to find, how selected methods can influence finding of behavioral patterns of selected agents in the system and how the amount of extracted sequences can be reduced. Extraction of behavioral patterns was performed by process mining and pattern mining methods with the focus on the sequences. The authors present the comparison of selected methods for the definition of agents' behavior with the focus to selected characteristics of observed methods. Behavioral patterns and relations between them create complex networks; thus, the extraction of behavioral patterns is optimized by spectral graph p

Název v anglickém jazyce

Analysis of agents' behavior in multiagent system

Popis výsledku anglicky

Multi-agent systems are commonly used for simulation purposes. The authors focused on agent-based technology in the business process simulation, especially on the analysis of the agent-based simulation outputs in order to facilitate the verification of the used methodology. The paper deals with an analysis of agents' behavior in multi-agent model of business processes. The main goal of the paper is to find, how selected methods can influence finding of behavioral patterns of selected agents in the system and how the amount of extracted sequences can be reduced. Extraction of behavioral patterns was performed by process mining and pattern mining methods with the focus on the sequences. The authors present the comparison of selected methods for the definition of agents' behavior with the focus to selected characteristics of observed methods. Behavioral patterns and relations between them create complex networks; thus, the extraction of behavioral patterns is optimized by spectral graph p

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the European Modeling and Simulation Symposium 2012

ISBN

978-88-97999-01-0

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

169-175

Název nakladatele

Dime University of Genoa

Místo vydání

Rende

Místo konání akce

Vienna, Austria

Datum konání akce

1. 1. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—