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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">INTERNATIONAL AGRICULTURAL JOURNAL</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">INTERNATIONAL AGRICULTURAL JOURNAL</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>МЕЖДУНАРОДНЫЙ СЕЛЬСКОХОЗЯЙСТВЕННЫЙ ЖУРНАЛ</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="print">2587-6740</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">110057</article-id>
   <article-id pub-id-type="doi">10.55186/25876740_2025_68_7_926</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Экологическая и продовольственная безопасность</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>Environmental and food security</subject>
    </subj-group>
    <subj-group>
     <subject>Экологическая и продовольственная безопасность</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Multi-agent system-process approach to ensuring food security</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Многоагентный системно-процессный подход к обеспечению продовольственной безопасности</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0677-2189</contrib-id>
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Проничкин</surname>
       <given-names>Сергей Васильевич</given-names>
      </name>
      <name xml:lang="en">
       <surname>Pronichkin</surname>
       <given-names>Sergey Vasilievich</given-names>
      </name>
     </name-alternatives>
     <email>sergeipronychkyn@gmail.com</email>
     <bio xml:lang="ru">
      <p>кандидат технических наук;</p>
     </bio>
     <bio xml:lang="en">
      <p>candidate of technical sciences;</p>
     </bio>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Центральный экономико-математический институт РАН</institution>
     <city>Москва</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">Central Economics and Mathematics Institute of Russian Academy of Sciences</institution>
     <city>Moscow</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2025-12-15T00:00:00+03:00">
    <day>15</day>
    <month>12</month>
    <year>2025</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-15T00:00:00+03:00">
    <day>15</day>
    <month>12</month>
    <year>2025</year>
   </pub-date>
   <issue>7</issue>
   <fpage>926</fpage>
   <lpage>929</lpage>
   <history>
    <date date-type="received" iso-8601-date="2025-09-11T00:00:00+03:00">
     <day>11</day>
     <month>09</month>
     <year>2025</year>
    </date>
    <date date-type="accepted" iso-8601-date="2025-11-14T00:00:00+03:00">
     <day>14</day>
     <month>11</month>
     <year>2025</year>
    </date>
   </history>
   <self-uri xlink:href="https://ecience.ru/en/nauka/article/110057/view">https://ecience.ru/en/nauka/article/110057/view</self-uri>
   <abstract xml:lang="ru">
    <p>Исследование посвящено решению критически важной задачи обеспечения продовольственной безопасности в архитектуре национальной безопасности в условиях глобальной нестабильности и санкционного давления. Целью работы является формализация управления неопределенностями и коллизиями в логистических цепочках поставок сельхозпродукции. В статье предлагается новая методология, которая основана на гибридном подходе, интегрирующем иерархический анализ (от нано- до мета-уровня) с динамическим моделированием процессов многоагентной системы. В ее состав входят агенты, функционирующие на базе знаний прецедентов и правил разрешения коллизий для автоматического выявления и устранения конфликтов в логистических операциях поставок сельхозпродукции. Предложенный комплексный системно-процессный подход включает анализ структуры потребления и расчет актуального прожиточного минимума. Апробация разработанного инструментария подтвердила высокую точность распознавания коллизий и их автоматического разрешения, а также экономию логистических издержек. Полученные результаты могут быть использованы для создания интеллектуальных систем поддержки принятия управленческих решений, повышающих устойчивость продовольственной системы к внешним шокам за счет оперативной реконфигурации цепочек поставок и реалистичной оценки уязвимости домохозяйств в условиях санкционного давления.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>The study is devoted to solving the critical problem of ensuring food security in the national security architecture in the context of global instability and sanctions pressure. The aim of the work is to formalize the management of uncertainties and collisions in the logistics chains of agricultural supplies. The article proposes a new methodology based on a hybrid approach integrating hierarchical analysis (from nano- to meta-level) with dynamic modeling of processes of a multi-agent system. It includes agents operating on the basis of precedent knowledge and collision resolution rules for automatic detection and resolution of conflicts in logistics operations of agricultural supplies. The proposed integrated system-process approach includes analysis of the consumption structure and calculation of the current subsistence minimum. Testing of the developed tools confirmed the high accuracy of collision recognition and their automatic resolution, as well as savings in logistics costs. The obtained results can be used to create intelligent systems to support management decisions that increase the resilience of the food system to external shocks through the rapid reconfiguration of supply chains and a realistic assessment of household vulnerability in the face of sanctions pressure.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>продовольственная безопасность</kwd>
    <kwd>многоагентные системы</kwd>
    <kwd>системно-процессный подход</kwd>
    <kwd>логистическая координация</kwd>
    <kwd>алгоритм разрешения коллизий</kwd>
    <kwd>сельскохозяйственная продукция</kwd>
    <kwd>агрохолдинги</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>food security</kwd>
    <kwd>multi-agent systems</kwd>
    <kwd>system-process approach</kwd>
    <kwd>logistics coordination</kwd>
    <kwd>collision resolution algorithm</kwd>
    <kwd>agricultural products</kwd>
    <kwd>agro-holding</kwd>
   </kwd-group>
   <funding-group>
    <funding-statement xml:lang="ru">Исследование выполнено за счет гранта Российского научного фонда № 25-28-00810.</funding-statement>
    <funding-statement xml:lang="en">The study was supported by a grant from the Russian Science Foundation № 25-28-00810.</funding-statement>
   </funding-group>
  </article-meta>
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