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Agent architecture for smart adaptive systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03105430" target="_blank" >RIV/68407700:21230/04:03105430 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Agent architecture for smart adaptive systems

  • Original language description

    This paper discusses the possibility of utilizing a multiagent system as a platform for development of a smart adaptive system in medicine. A knowledge-based model of the agents' mutual awareness (social knowledge) is presented. The tri-base acquaintance(3bA) model formalizing the agent's social behaviour knowledge and co-operation neighbourhood knowledge is enhanced to support attention focussing and to ensure a holistic complex perception of the problem. The paper focuses on an analysis of the content of 3bA knowledge bases for applications in medical decision support. An architecture for a multiagent system, ADAM, for medical decision support and monitoring is proposed.

  • Czech name

    Není k dispozici

  • Czech description

    Není k dispozici

Classification

  • Type

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

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2004

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Transactions of the Institute of Measurement and Control

  • ISSN

    0142-3312

  • e-ISSN

  • Volume of the periodical

    26

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    16

  • Pages from-to

    245-260

  • UT code for WoS article

  • EID of the result in the Scopus database