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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">mtnip</journal-id><journal-title-group><journal-title xml:lang="ru">Московский транспорт. Наука и проектирование</journal-title><trans-title-group xml:lang="en"><trans-title>Moscow Transport. Science and Designn</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">3034-5162</issn><publisher><publisher-name>ГБУ НИИ "МосТрансПроект"</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">mtnip-35</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>КОМПЬЮТЕРНЫЕ НАУКИ И ИНФОРМАТИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>COMPUTER SCIENCE AND INFORMATICS</subject></subj-group></article-categories><title-group><article-title>Конструкционный подход к разработке Сильного Искусственного Интеллекта</article-title><trans-title-group xml:lang="en"><trans-title>Constructional approach to the development of Artificial General Intelligence</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0000-6526-702X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Фаустов</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Faustov</surname><given-names>А. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Фаустов Андрей Александрович, главный аналитик научного центра</p><p>101000, г. Москва, Потаповский переулок, д. 3, стр. 1</p></bio><bio xml:lang="en"><p>Faustov Andrey Aleksandrovich, Chief Analyst of the Research Center</p><p>3/1 Potapovsky Lane, Moscow, 101000</p></bio><email xlink:type="simple">FaustovAA1@mtp.mos.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ГБУ «Мостранспроект»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>SBI «MosTransProject»</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>15</day><month>01</month><year>2026</year></pub-date><volume>0</volume><issue>4</issue><fpage>59</fpage><lpage>70</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Фаустов А.А., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Фаустов А.А.</copyright-holder><copyright-holder xml:lang="en">Faustov А.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://mtnip.elpub.ru/jour/article/view/35">https://mtnip.elpub.ru/jour/article/view/35</self-uri><abstract><p>В статье обсуждается потребность общества и бизнеса, в том числе транспортной и строительной отраслей, в инструментах искусственного интеллекта (ИИ), которые могли бы полно и точно выполнять сложные задачи, такие как строительное проектирование. Указывается, что существующие универсальные сервисы на основе больших языковых моделей (Large Language Models, LLM) и узкоспециализированные нейросети не способны справиться с этой задачей в полном объеме. В качестве вероятного решения предлагается Сильный Искусственный Интеллект или, как его называют в англоязычной литературе, AGI (Artificial General Intelligence). Представлен обзор современного понимания в мире того, что следует считать AGI, а также проведен анализ подходов, предлагаемых для его разработки. В результате предложено оригинальное видение подхода к проектированию и разработке AGI на основе функциональных механизмов и структуры человеческого интеллекта.</p></abstract><trans-abstract xml:lang="en"><p>The article discusses the need of society and business, including the transport and construction industries, for artificial intelligence (AI) tools that could fully and accurately perform complex tasks such as construction design. It is indicated that existing universal services based on Large Language Models (LLM) and highly specialized neural networks are not capable of handling this task in full. Artificial General Intelligence (AGI) is proposed as a probable solution. The article presents an overview of the current global understanding of what should be considered AGI, as well as an analysis of approaches proposed for its development. As a result, an original vision of an approach to the design and development of AGI based on functional mechanisms and structure of human intelligence is proposed.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Сильный Искусственный Интеллект</kwd><kwd>Artificial General Intelligence</kwd><kwd>AGI</kwd><kwd>структура психики человека</kwd><kwd>конструкционный подход к моделированию ИИ</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Strong Artificial Intelligence</kwd><kwd>Artificial General Intelligence</kwd><kwd>AGI</kwd><kwd>structure of human psyche</kwd><kwd>constructional approach to AI modeling</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">Сэм Альтман знает, как достичь AGI [Электронный ресурс]. — URL: https://habr.com/ru/articles/873110/ (дата обращения: 20.09.2025).</mixed-citation><mixed-citation xml:lang="en">Sem Al’tman znaet, kak dostich’ AGI [Sam Altman knows how to achieve AGI]. 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