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Introduction of Neural Networks to Students

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F13%3A39896380" target="_blank" >RIV/00216275:25530/13:39896380 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Introduction of Neural Networks to Students

  • Original language description

    The paper deals with the possibility of introducing artificial intelligence and especially artificial neural network methodology to students in interesting way. To be more specific, the artificial neural network is described through the design of non-player character?s (NPC) artificial intelligence in simple computer game. In the first paragraphs, the methodology of artificial neural networks is described in rather exoteric way through its comparison to biological nervous systems and neural cells. Then,the methodology is used to design a computer game NPC which can observe and learn the behavior of human player. A the end of the paper, the NPC behavior is tested and analyzed, as well as there is mentioned a feedback from students of several educationfacilities.

  • Czech name

  • Czech description

Classification

  • Type

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

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    ACC Journal

  • ISSN

    1803-9782

  • e-ISSN

  • Volume of the periodical

    19

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    9

  • Pages from-to

    6-14

  • UT code for WoS article

  • EID of the result in the Scopus database