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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">humanities</journal-id><journal-title-group><journal-title xml:lang="ru">Гуманитарные науки. Вестник Финансового университета</journal-title><trans-title-group xml:lang="en"><trans-title>Humanities and Social Sciences. Bulletin of the Financial University</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2226-7867</issn><issn pub-type="epub">2619-1482</issn><publisher><publisher-name>Financial University under The Government of Russian Federation</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.12737/22954</article-id><article-id custom-type="elpub" pub-id-type="custom">humanities-120</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ФУНДАМЕНТАЛЬНОЕ НАУЧНОЕ ЗНАНИЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>FUNDAMENTAL SCIENTIFIC KNOWLEDGE</subject></subj-group></article-categories><title-group><article-title>СИСТЕМНАЯ ДИНАМИКА, АГЕНТНОЕ МОДЕЛИРОВАНИЕ И СЦЕНАРНЫЙ АНАЛИЗ КАК ИНСТРУМЕНТЫ ПРОГНОЗИРОВАНИЯ ПОТРЕБНОСТИ В КВАЛИФИЦИРОВАННЫХ КАДРАХ</article-title><trans-title-group xml:lang="en"><trans-title>Agent-Based, System Dynamic Models and Scenario Analysis as Forecasting Tools of Labor Demand</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ильинский</surname><given-names>А. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Ilyinsky</surname><given-names>A. I.</given-names></name></name-alternatives><email xlink:type="simple">AIlyinsky@fa.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Горошникова</surname><given-names>Т. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Goroshnikova</surname><given-names>T. A.</given-names></name></name-alternatives><email xlink:type="simple">TAGoroshnikova@fa.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Финансовый университет при Правительстве Российской Федерации</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Financial University under the Government of the Russian Federation</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2016</year></pub-date><pub-date pub-type="epub"><day>22</day><month>08</month><year>2018</year></pub-date><volume>6</volume><issue>4</issue><fpage>36</fpage><lpage>39</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Ильинский А.И., Горошникова Т.А., 2018</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="ru">Ильинский А.И., Горошникова Т.А.</copyright-holder><copyright-holder xml:lang="en">Ilyinsky A.I., Goroshnikova T.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://humanities.fa.ru/jour/article/view/120">https://humanities.fa.ru/jour/article/view/120</self-uri><abstract><p>Прогнозирование потребности экономики в квалифицированной рабочей силе это сложный многоступенчатый процесс, объединяющий различные научные методы. Способность агентных, системно-динамических и сценарных моделей полноценно прогнозировать изменения на рынке труда и/или помогать в выборе оптимальной политики облегчает вычислительные процессы и позволяет получить картину возможных исходов в заданных условиях. В виду своей гибкости, модели перспективны для достоверных прогнозов динамики рынка труда.</p></abstract><trans-abstract xml:lang="en"><p>Forecasting of labor demand is the multistage process combining the different modeling methods and working with empirical data to provide reliable and consistent scenario for the future dynamic labor demand under the influence of multiple factors at the regional/ national level. Agent-based, system dynamic models and scenario analysis are widely used to predict changes in the labor market from the production side.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>прогнозирование</kwd><kwd>потребность в квалифицированных кадрах</kwd><kwd>системная динамика</kwd><kwd>агентно-ориентированные модели</kwd></kwd-group><kwd-group xml:lang="en"><kwd>forecasting</kwd><kwd>labor demand</kwd><kwd>system dynamics</kwd><kwd>agent-based models</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Forrester J.W., Mas N J., &amp; Rya C J. (1976). The system dynamics national model: Understanding socio-economic behavior and policy alternatives. Technological Forecasting and Social Change, 9(1-2), 51-68. DOI:10.1016/0040-1625(76)90044-5</mixed-citation><mixed-citation xml:lang="en">Forrester J.W., Mas N J., &amp; Rya C J. (1976). 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