Extraction of Agent Groups with Similar Behaviour Based on Agent Profiles
The result's identifiers
Result code in 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>
Alternative codes found
RIV/61989100:27240/13:86086967
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Extraction of Agent Groups with Similar Behaviour Based on Agent Profiles
Original language description
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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
O - Projekt operacniho programu
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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
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Number of pages
9
Pages from-to
348-357
Publisher name
Springer-Verlag
Place of publication
Berlin Heidelberg, Germany
Event location
Kraków, Poland
Event date
Sep 25, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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