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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

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

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • 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

  • 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

  • EID of the result in the Scopus database

    2-s2.0-85027187375