Extraction of Agent Groups with Similar Behaviour Based on Agent Profiles

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F13%3A%230002273" target="_blank" >RIV/47813059:19520/13:#0002273 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/13:86086967

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-642-40925-7_32" target="_blank" >http://dx.doi.org/10.1007/978-3-642-40925-7_32</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-40925-7_32" target="_blank" >10.1007/978-3-642-40925-7_32</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Extraction of Agent Groups with Similar Behaviour Based on Agent Profiles

Popis výsledku v původním jazyce

This paper deals with the log files suitable to extract valuable information about agents and their behaviour from agent-based simulation in a model of virtual company. Such information, presented in a transparent way, can be used as a support for simulation verification to achieve the suitable design of the proposed system. Hence, based on the similar behaviour (represented by extracted sequences) of agents, we are able to construct models which explain certain aspects of agent behaviour. Moreover, wecan extract agent profiles based on behaviour and find latent ties between different agent groups with similar behaviours. The paper extends the results of our previous works about sequence extraction and comparison. The approach for agent network construction based on agent profiles is described. Two different methods were used for construction of agent network. One method uses cosine similarity and graph partitioning and the second self organization maps and Euclidean similarity for ag

Název v anglickém jazyce

Extraction of Agent Groups with Similar Behaviour Based on Agent Profiles

Popis výsledku anglicky

This paper deals with the log files suitable to extract valuable information about agents and their behaviour from agent-based simulation in a model of virtual company. Such information, presented in a transparent way, can be used as a support for simulation verification to achieve the suitable design of the proposed system. Hence, based on the similar behaviour (represented by extracted sequences) of agents, we are able to construct models which explain certain aspects of agent behaviour. Moreover, wecan extract agent profiles based on behaviour and find latent ties between different agent groups with similar behaviours. The paper extends the results of our previous works about sequence extraction and comparison. The approach for agent network construction based on agent profiles is described. Two different methods were used for construction of agent network. One method uses cosine similarity and graph partitioning and the second self organization maps and Euclidean similarity for ag

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8104 LNCS

ISBN

9783642409240

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

9

Strana od-do

348-357

Název nakladatele

Springer-Verlag

Místo vydání

Berlin Heidelberg, Germany

Místo konání akce

Kraków, Poland

Datum konání akce

25. 9. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—