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A Framework for Hybrid Computational Models.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F03%3A06040260" target="_blank" >RIV/67985807:_____/03:06040260 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985807:_____/03:00000074

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Framework for Hybrid Computational Models.

  • Original language description

    Hybrid computational models can be seen as systems of computational agents. This paper proposes mechanisms that provide agents autonomous abilities in order to improve their performance within a multi-agent system. Our approach is utilizing an ontology-based description of agent and task types together with machine learning algorithms, such as evolutionary algorithms with logical reasoning. We propose a combination of an evolutionary algorithm and a formal logic resolution system which is able to createand verify new schemes. The approach is ilustrated on simple examples.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2003

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    WSEAS Transactions on Computers

  • ISSN

    1109-2750

  • e-ISSN

  • Volume of the periodical

    2

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    6

  • Pages from-to

    868-873

  • UT code for WoS article

  • EID of the result in the Scopus database