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Description, Composition, and Decision Support for Multiagent Computational Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F09%3A00336348" target="_blank" >RIV/67985807:_____/09:00336348 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Description, Composition, and Decision Support for Multiagent Computational Systems

  • Original language description

    A decision making architecture for intelligent agents is presented in this paper. It allows agents to perform autonomous behavior with respect to its own goals and cooperation with other agents. We focus on computational agents that encapsulate various methods of computational intelligence, such as neural networks, genetic algorithms, and similar methods. The goal of these agents is typically to solve a data mining problem characterized by a data set together with problem description. The architecture is based on the vertically-layered and belief-desire-intention architectures. Several experiments with computational agents were conducted to demonstrate the benefits of the architecture.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA201%2F08%2F1744" target="_blank" >GA201/08/1744: Complexity of perceptron and kernel networks</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 21st IEEE International Conference on Tools with Artificial Intelligence

  • ISBN

    978-1-4244-5619-2

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Los Alamitos

  • Event location

    Newark

  • Event date

    Nov 2, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article