Tree Based Decision Strategies and Auctions in Computational Multi-Agent Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F17%3A00477352" target="_blank" >RIV/67985807:_____/17:00477352 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/17:00314345
Result on the web
<a href="http://rev-inv-ope.univ-paris1.fr/fileadmin/rev-inv-ope/files/38417/38417-04.pdf" target="_blank" >http://rev-inv-ope.univ-paris1.fr/fileadmin/rev-inv-ope/files/38417/38417-04.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Tree Based Decision Strategies and Auctions in Computational Multi-Agent Systems
Original language description
This paper deals with an agent-based implementation of data mining system where a set of tasks is being processed in a distributed manner. The key role within such a system is the decision strategy of a computational agent which should consider accepting or rejecting a particular task based on various decision strategies. We present several adaptive decision strategies and compare them to traditional auction-based task distribution. Results show that optimal decision making strategy depends on the task set characteristic properties { e.g. how distinct are the best and the worst average results of each task type in dataset.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Investigacion Operacional
ISSN
0257-4306
e-ISSN
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Volume of the periodical
38
Issue of the periodical within the volume
4
Country of publishing house
CU - CUBA
Number of pages
8
Pages from-to
335-342
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85027187375