Open AccessModeling market barriers based on artificial immune system
Author(s) -
Степанов,
L. V. Stepanov,
Сербулов,
Yuriy Serbulov,
Глухов,
Dmitriy Glukhov
Publication year - 2014
Publication title -
lesotehničeskij žurnal
Language(s) - English
Resource type - Journals
ISSN - 2222-7962
DOI - 10.12737/2208
Subject(s) - immune system , competitor analysis , observer (physics) , antibody , object (grammar) , computer science , biology , economics , artificial intelligence , immunology , physics , management , quantum mechanics
The article considers the artificial immune system, which is a complex of mathematical methods to model the main functions of the human immune system, and used to determine the parameters and (or) their values which can minimize the impact of certain factors (ex-ternal or internal) to any object. If such a system is functioning as the "observer", its antibodies correspond to the properties of a competitor. Then "interesting" competitors are those whose properties correspond to the antibodies of the immune system. Signal "danger" arises. It is important that an understanding of "interesting" competitor can promptly adapt to such changes.