<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<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">mais</journal-id><journal-title-group><journal-title xml:lang="ru">Моделирование и анализ информационных систем</journal-title><trans-title-group xml:lang="en"><trans-title>Modeling and Analysis of Information Systems</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1818-1015</issn><issn pub-type="epub">2313-5417</issn><publisher><publisher-name>Yaroslavl State University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18255/1818-1015-2023-3-234-245</article-id><article-id custom-type="elpub" pub-id-type="custom">mais-1801</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>Theory of Computing</subject></subj-group></article-categories><title-group><article-title>Распределение Больцмана в проблеме рационального выбора  популяцией участка при неполной информации о его ресурсах</article-title><trans-title-group xml:lang="en"><trans-title>The Boltzmann distribution in the problem of rational choice by population of a patch under an imperfect information about its resources</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3356-1846</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кириллов</surname><given-names>Александр Николаевич</given-names></name><name name-style="western" xml:lang="en"><surname>Kirillov</surname><given-names>Alexander N.</given-names></name></name-alternatives><email xlink:type="simple">krllv1812@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7031-4580</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Данилова</surname><given-names>Инна Владимировна</given-names></name><name name-style="western" xml:lang="en"><surname>Danilova</surname><given-names>Inna V.</given-names></name></name-alternatives><email xlink:type="simple">danilovainna1987@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Карельский научный центр Российской академии наук</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Karelian Research Centre of the Russian Academy of Sciences</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Петрозаводский государственнй университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Petrozavodsk State University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>17</day><month>09</month><year>2023</year></pub-date><volume>30</volume><issue>3</issue><fpage>234</fpage><lpage>245</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Кириллов А.Н., Данилова И.В., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Кириллов А.Н., Данилова И.В.</copyright-holder><copyright-holder xml:lang="en">Kirillov A.N., Danilova I.V.</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://www.mais-journal.ru/jour/article/view/1801">https://www.mais-journal.ru/jour/article/view/1801</self-uri><abstract><p>Рассматривается задача рационального выбора популяцией участка, содержащего энергетические (пищевые) ресурсы. Рассматриваемая задача относится к теории оптимального фуражирования, которая в свою очередь изучает вопросы, касающиеся поведения популяции, когда она покидает участок или выбирает наиболее подходящий. Для определения оптимального для популяции выбора участка предлагается вариационный подход, основанный на идее распределения Больцмана. Для построения распределения Больцмана вводятся функции полезности, которые учитывают факторы, способные повлиять на выбор популяции: имеющаяся информация о качестве участков, энергетическая полезность участков, затраты на перемещение к участку, стоимость информации о качестве участков. Основная цель статьи – исследовать влияние имеющейся информации о количестве ресурсов, содержащихся в участках, на процесс принятия решений, генерируемых популяцией при выборе подходящего участка. Оптимальная рациональность определяется с учетом стоимости информации, средней энергетической ценности всех участков, рациональности, зависящей от качества участка. Получены условия, при которых популяция при недостатке информации выбирает «бедный» участок в смысле энергетической ценности (ресурсов). Последнее дает теоретическое обоснование экспериментальным наблюдениям, согласно которым, популяция может выбрать участок худшего качества. Полученные результаты носят общий характер и могут быть использованы не только в поведенческой экологии, но и при построении любых процессов принятия решений.</p></abstract><trans-abstract xml:lang="en"><p>The problem of rational choice by the population of a patch containing energy (nutritive) resources is considered. This problem belongs to the theory of optimal foraging, which, in turn of, studies issues related to the behavior of the population when it leaves the patch or chooses the most suitable one. In order to define the optimal patch choice for population, a variational approach, based on the idea of the Boltzmann distribution is proposed. To construct the probability distribution the utility functions are used, that take into account factors that can influence the patch choice of a population: available information about the quality of patches, the energy utility of patches, the cost of moving to the patch, the cost of information about the quality of patches. The main goal of the paper is to investigate the influence of available information about the amount of resources, contained in patches, on a decision-making process generated by the foragers while a suitable patch choosing. The optimal rationality is determined in the cases taking into account the information cost, the average energy utility of all patches, the rationality depending on the patch. The conditions under which the population, with the lack of information, select the “poor” patch, in sense of its resources, are obtained. The latter provides a theoretical justification of experimental observations, according to which a population can choose a patch with worse quality. The obtained results have a general character and may be used not only in behavioral ecology but when constructing any decision making processes.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>распределение Больцмана</kwd><kwd>рациональность выбора</kwd><kwd>мера информированности</kwd><kwd>стоимость информации</kwd><kwd>функция полезности</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Boltzmann distribution</kwd><kwd>rationality of choice</kwd><kwd>measure of awareness</kwd><kwd>information cost</kwd><kwd>utility function</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Исследование выполнено за счет гранта Российского научного фонда No 23-21-00092, https://rscf.ru/project/23- 21-00092/.</funding-statement><funding-statement xml:lang="en">This work was supported by the Russian Science Foundation (project No. 23-21-00092), https://rscf.ru/project/23-21- 00092/.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">R. B. Aumann, “Rationality and Bounded Rationality,” Games and econimic behavior, vol. 21, no. 1, pp. 2–14, 1997.</mixed-citation><mixed-citation xml:lang="en">R. B. Aumann, “Rationality and Bounded Rationality,” Games and econimic behavior, vol. 21, no. 1, pp. 2–14, 1997.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">P. A. Ortega, D. A. Braun, J. Dyer, K.-E. Kim, and N. Tishby, “Information-Theoretic Bounded Rationality.” 2015, [Online]. Available: https://arxiv.org/abs/1512.06789.</mixed-citation><mixed-citation xml:lang="en">P. A. Ortega, D. A. Braun, J. Dyer, K.-E. Kim, and N. Tishby, “Information-Theoretic Bounded Rationality.” 2015, [Online]. Available: https://arxiv.org/abs/1512.06789.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">D. A. Braun and P. A. Ortego, “Information-Theoretic Bounded Rationality and ε-Optimality,” Entropy, vol. 16, pp. 4662–4676, 2014.</mixed-citation><mixed-citation xml:lang="en">D. A. Braun and P. A. Ortego, “Information-Theoretic Bounded Rationality and ε-Optimality,” Entropy, vol. 16, pp. 4662–4676, 2014.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">M. D. Breed and J. Moore, Encyclopedia of animal behavior. Elsevier Ltd., 2019.</mixed-citation><mixed-citation xml:lang="en">M. D. Breed and J. Moore, Encyclopedia of animal behavior. Elsevier Ltd., 2019.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">E. Kagan and I. Ben-Gal, Search and foraging individual motion and swarm dynamics. Taylor and Francis Group, LLC, 2015.</mixed-citation><mixed-citation xml:lang="en">E. Kagan and I. Ben-Gal, Search and foraging individual motion and swarm dynamics. Taylor and Francis Group, LLC, 2015.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">B. Y. Hayden and M. E. Walton, “Neuroscience of foraging,” Frontiers in Neuroscience, vol. 8, p. 81, 2014.</mixed-citation><mixed-citation xml:lang="en">B. Y. Hayden and M. E. Walton, “Neuroscience of foraging,” Frontiers in Neuroscience, vol. 8, p. 81, 2014.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">D. L. Barack, C. S. W., and P. M. L., “Posterior cingulate neurons dynamically signal decisions to disengage during foraging,” Neuron, vol. 96, no. 2, pp. 339–347, 2017.</mixed-citation><mixed-citation xml:lang="en">D. L. Barack, C. S. W., and P. M. L., “Posterior cingulate neurons dynamically signal decisions to disengage during foraging,” Neuron, vol. 96, no. 2, pp. 339–347, 2017.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">J. S. Greene et al., “Balancing selection shapes density-dependent foraging behaviour,” Nature, vol. 539, pp. 254–258, 2016.</mixed-citation><mixed-citation xml:lang="en">J. S. Greene et al., “Balancing selection shapes density-dependent foraging behaviour,” Nature, vol. 539, pp. 254–258, 2016.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">R. Cressman and V. Krivan, “The ideal free distribution as an evolutionarily stable state in density-dependent population games,” Oikos, vol. 119, no. 8, pp. 1231–1242, 2010.</mixed-citation><mixed-citation xml:lang="en">R. Cressman and V. Krivan, “The ideal free distribution as an evolutionarily stable state in density-dependent population games,” Oikos, vol. 119, no. 8, pp. 1231–1242, 2010.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">R. Cressman and V. Krivan, “Two-patch population models with adaptive dispersal: the effects of varying dispersal speeds,” Mathematical Biology, vol. 67, pp. 329–358, 2013.</mixed-citation><mixed-citation xml:lang="en">R. Cressman and V. Krivan, “Two-patch population models with adaptive dispersal: the effects of varying dispersal speeds,” Mathematical Biology, vol. 67, pp. 329–358, 2013.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">M. Shuichi, R. Arlinghaus, and U. Dieckmann, “Foraging on spatially distributed resources with suboptimal movement, imperfect information, and travelling</mixed-citation><mixed-citation xml:lang="en">M. Shuichi, R. Arlinghaus, and U. Dieckmann, “Foraging on spatially distributed resources with suboptimal movement, imperfect information, and travelling</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">costs: departures from the ideal free distribution,” Oikos, vol. 119, no. 9, pp. 1469–1483, 2010.</mixed-citation><mixed-citation xml:lang="en">costs: departures from the ideal free distribution,” Oikos, vol. 119, no. 9, pp. 1469–1483, 2010.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">L. D. Landau and E. M. Lifshitz, Statistical physics. Nauka, 1976.</mixed-citation><mixed-citation xml:lang="en">L. D. Landau and E. M. Lifshitz, Statistical physics. Nauka, 1976.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">I. P. Kornfeld, Y. G. Sinai, and S. V. Fomin, Ergodic theory. Nauka, 1980.</mixed-citation><mixed-citation xml:lang="en">I. P. Kornfeld, Y. G. Sinai, and S. V. Fomin, Ergodic theory. Nauka, 1980.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">R. Bowen, Methods of symbolic dynamics. Mir, 1979.</mixed-citation><mixed-citation xml:lang="en">R. Bowen, Methods of symbolic dynamics. Mir, 1979.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">C. J. C. H. Watkins and P. Dayan, “Technical note Q-Learning,” Machine Learning, vol. 8, no. 3, pp. 279–292, 1992.</mixed-citation><mixed-citation xml:lang="en">C. J. C. H. Watkins and P. Dayan, “Technical note Q-Learning,” Machine Learning, vol. 8, no. 3, pp. 279–292, 1992.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">A. Kianercy and A. Galstyan, “Dynamics of Boltzmann Q learning in two-player two-action games,” Physical review, vol. 85, no. 4, p. 041145, 2012.</mixed-citation><mixed-citation xml:lang="en">A. Kianercy and A. Galstyan, “Dynamics of Boltzmann Q learning in two-player two-action games,” Physical review, vol. 85, no. 4, p. 041145, 2012.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">P. A. Ortega and D. A. Braun, “Thermodynamics as a theory of decision-making with information-processing costs,” Proceedings of the Royal Society, vol. 469, no. 2153, p. 20120683, 2013.</mixed-citation><mixed-citation xml:lang="en">P. A. Ortega and D. A. Braun, “Thermodynamics as a theory of decision-making with information-processing costs,” Proceedings of the Royal Society, vol. 469, no. 2153, p. 20120683, 2013.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">S. K. Mitter and N. J. Newton, “Information and entropy flow in the Kalman-Bucy filter,” Journal of Statistical Physics, vol. 118, pp. 145–176, 2005.</mixed-citation><mixed-citation xml:lang="en">S. K. Mitter and N. J. Newton, “Information and entropy flow in the Kalman-Bucy filter,” Journal of Statistical Physics, vol. 118, pp. 145–176, 2005.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">P. Pirolli, Information foraging theory. Oxford university press, 2007.</mixed-citation><mixed-citation xml:lang="en">P. Pirolli, Information foraging theory. Oxford university press, 2007.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">K. Lerman and A. Galstyan, “Mathematical model of foraging in a group of robots: effect of interference,” Autonomous robots, vol. 13, pp. 127–141, 2002.</mixed-citation><mixed-citation xml:lang="en">K. Lerman and A. Galstyan, “Mathematical model of foraging in a group of robots: effect of interference,” Autonomous robots, vol. 13, pp. 127–141, 2002.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">A. N. Kirillov and I. V. Danilova, “Dynamics of population patch distribution,” Modeling and Analysis of Information Systems, vol. 25, no. 3, pp. 268–275, 2018.</mixed-citation><mixed-citation xml:lang="en">A. N. Kirillov and I. V. Danilova, “Dynamics of population patch distribution,” Modeling and Analysis of Information Systems, vol. 25, no. 3, pp. 268–275, 2018.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">A. N. Kirillov and I. V. Danilova, “Utility function in the foraging problem with imperfect information,” Information and Control Systems, vol. 105, no. 2, pp. 71–77, 2020.</mixed-citation><mixed-citation xml:lang="en">A. N. Kirillov and I. V. Danilova, “Utility function in the foraging problem with imperfect information,” Information and Control Systems, vol. 105, no. 2, pp. 71–77, 2020.</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">I. V. Danilova, A. N. Kirillov, and A. A. Krizhanovsky, “Boltzmann distribution in relation to the problem of population migration,” Proceedings of Voronezh State University. Series: Systems Analysis and Information Technologies, no. 2, pp. 92–102, 2020.</mixed-citation><mixed-citation xml:lang="en">I. V. Danilova, A. N. Kirillov, and A. A. Krizhanovsky, “Boltzmann distribution in relation to the problem of population migration,” Proceedings of Voronezh State University. Series: Systems Analysis and Information Technologies, no. 2, pp. 92–102, 2020.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
