novtexmechМехатроника, автоматизация, управлениеMekhatronika, Avtomatizatsiya, Upravlenie1684-64272619-1253Commercial Publisher «New Technologies»10.17587/mau.23.171-176novtexmech-1169Research ArticleСИСТЕМНЫЙ АНАЛИЗ, УПРАВЛЕНИЕ И ОБРАБОТКА ИНФОРМАЦИИSYSTEM ANALYSIS, CONTROL AND INFORMATION PROCESSINGМетодология оценки эволюционирующих социотехнических систем с искусственным интеллектомMethodology of Evaluation of Evolving Sociotechnical Systems with Artifi cial IntelligenceСергеевС. Ф.SergeevS. F.

д-р психол. наук, проф., заведующий НИЛ

Sergeev Sergey F., Professor, Dr. of Psychology Sciences, Head of Scientific and Research Laboratory of "Ergonomics of Complex Systems"

Sankt-Petersburg, 195251

sergeev_sf@spbstu.ruСанкт-Петербургский политехнический университет Петра ВеликогоРоссияPeter the Great St. Petersburg Polytechnic UniversityRussian Federation202208042022234171176Copyright © Commercial Publisher «New Technologies», 20222022Commercial Publisher «New Technologies»Commercial Publisher «New Technologies»https://mech.novtex.ru/jour/about/submissions#copyrightNoticehttps://mech.novtex.ru/jour/article/view/1169

Эволюция техногенного мира, развитие сетевых и киберфизических систем включают механизмы социально-средовой самоорганизации технообщества за счет трансформации человеческого опыта в рамках циклов аутопоэтической самоорганизации техносреды. Важную роль в вопросах создания новых форм возникающих социотехнических систем, включающих технологии искусственного интеллекта на этапах формирования и реализации технического проекта, играет принятая разработчиками концепция включения механизмов самоорганизации и развития системы, связанная с методологией оценки эргономических свойств создаваемых систем. Эргономическая оценка играет особую гармонизирующую и корректирующую роль при создании человеко-машинных социотехнических систем. Показано определяющее значение в формировании эргономической оценки социотехнических систем механизмов редукции, которые определяют направление эволюции данных систем в требуемом направлении. Социотехническая система с искусственным интеллектом априорно не имеет заранее заданных, четко известных и понятных авторам и пользователям свойств, их она проявляет только в рабочем контексте, что не позволяет применять привычные методы эргономической оценки, используемые при оценке постоянных качеств социотехнической системы по отношению к человеку-пользователю.

Отмечена особая роль симбиотических отношений в поддержании эффективной работы социотехнических систем с распределенным искусственным интеллектом. Рассматриваются процессы когеренции-декогеренции, влияющие на смену форм организованной сложности, определяющие жизнеспособность системы в среде. Поставлена проблема энактивации порождаемых технологиями элементов техносреды в эволюционирующую часть социотехнической системы. На примере сети Интернет показано, что свободная эволюция техносреды, связанная с избыточным информационным многообразием социального компонента сети, ведет к ускорению ее эволюции, но снижает ее социальную устойчивость и стабильность.

Evolution of the technogenic world, the development of networked and cyber-physical systems includes mechanisms of socioenvironmental self-organization of techno-society through the transformation of human experience within the cycles of autopoietic selforganization of the techno-environment. An essential role in the issues of creating new forms of emerging socio-technical systems that include artificial intelligence technologies at the stages of formation and implementation of a technical project is played by the concept of including mechanisms of self-organization and system development, which is related to the methodology of assessing the ergonomic properties of the systems being created. Ergonomic assessment plays a unique harmonizing and corrective role in creating man-machine socio-technical systems. The determining role in the formation of ergonomic assessment of socio-technical systems is shown to be played by reduction mechanisms, which determine the evolution of these systems in the required direction. A socio-technical system with artificial intelligence does not have a priori predetermined, clearly known and intelligible to authors and user’s properties, and displays them only in a working context, which does not allow applying the usual methods of ergonomic assessment used in assessing the permanent qualities of a socio-technical system concerning a human user. We noted the unique role of symbiotic relations in maintaining the effective operation of socio-technical systems with distributed artificial intelligence considered to the processes of coherence-decoherence, influencing the change of forms of organized complexity, and determining the system’s viability in the environment. We pointed to the problem of inactivating technologically generated elements of the techno-environment into the socio-technical system’s evolving part. Using the Internet as an example, we show that the free evolution of the techno-environment associated with excessive information diversity of the social component of the network leads to acceleration of its evolution but reduces its social stability and sustainability.

социотехническая системаискусственный интеллектсамоорганизацияэволюцияциклы аутопоэтического воплощенияэргономикаоценка социальных системsociotechnical systemartificial intelligenceself-organizationevolutioncycles of autopoetic embodimentergonomicsevaluation of social systemsReferencesSergeev S. F. Science and technology of the XXI century. Communications and NBICS-convergence, Global Future 2045. Convergent Technologies (NBICS) and transhumanistic evolution, Ed. Prof. D. I. Dubrovsky, Moscow IBA Publishing House LLC, 2013, pp. 158—168 (in Russian).Sergeev S. F. Science and technology of the XXI century. Communications and NBICS-convergence, Global Future 2045. Convergent Technologies (NBICS) and transhumanistic evolution, Ed. Prof. D. I. Dubrovsky, Moscow IBA Publishing House LLC, 2013, pp. 158—168 (in Russian).Sergeev S. F. Reflexive autoevolution of global intelligent technogenic environments, Reflexive processes and management. Collection of materials of the IX International Symposium on October 17—18, 2013, Moscow, Ed. V. E. Lepsky, Moscow, Kogito-Center, pp. 245—248 (in Russian).Sergeev S. F. Reflexive autoevolution of global intelligent technogenic environments, Reflexive processes and management. Collection of materials of the IX International Symposium on October 17—18, 2013, Moscow, Ed. V. E. Lepsky, Moscow, Kogito-Center, pp. 245—248 (in Russian).Arshinov V. I., Budanov V. G. The concept of a network in optics of a paradigm of synergetic complexity, Questions of philosophy, 2018, no. 3, pp. 49—58 (in Russian).Arshinov V. I., Budanov V. G. The concept of a network in optics of a paradigm of synergetic complexity, Questions of philosophy, 2018, no. 3, pp. 49—58 (in Russian).Stepin V. S. Classics, non-classics, post-non-classics: criteria of distinction, Postnonclassics: philosophy, science, culture, St. Petersburg, Mriya, 2009, pp. 249—295 (in Russian).Stepin V. S. Classics, non-classics, post-non-classics: criteria of distinction, Postnonclassics: philosophy, science, culture, St. Petersburg, Mriya, 2009, pp. 249—295 (in Russian).Sergeev S. F. Intellectual symbionts in ergatic systems, Scientific and Technical Bulletin of information technologies, Mechanics and Optics, 2013, no. 2 (84), pp. 149—154 (in Russian).Sergeev S. F. Intellectual symbionts in ergatic systems, Scientific and Technical Bulletin of information technologies, Mechanics and Optics, 2013, no. 2 (84), pp. 149—154 (in Russian).Felt U., Schumann S., Schwarz C. G., Strassnig M. Technology of Imagination: A Card-Based Public Engagement Method for Debating Emerging Technologies, Qualitative Research, 2014, vol. 14, no. 2, pp. 233—251.Felt U., Schumann S., Schwarz C. G., Strassnig M. Technology of Imagination: A Card-Based Public Engagement Method for Debating Emerging Technologies, Qualitative Research, 2014, vol. 14, no. 2, pp. 233—251.Grebenshchikova E. G. Sociotechnical imaginations of techno science, Questions of philosophy, 2018, no. 3, pp. 59—67 (in Russian).Grebenshchikova E. G. Sociotechnical imaginations of techno science, Questions of philosophy, 2018, no. 3, pp. 59—67 (in Russian).Emery F., Trist E. The Causal Texture of Organizational Environments, The Social Engagement of Social Science, a Tavistock Anthology, vol. 3: A Tavistock Anthology-The Socio-Ecological Perspective, Philadelphia: University of Pennsylvania Press, 2016, pp. 53—65.Emery F., Trist E. The Causal Texture of Organizational Environments, The Social Engagement of Social Science, a Tavistock Anthology, vol. 3: A Tavistock Anthology-The Socio-Ecological Perspective, Philadelphia: University of Pennsylvania Press, 2016, pp. 53—65.Knyazeva E. N. Temporal architecture of complexity, Synergetic paradigm. "Synergetics of innovative complexity", Moscow, Progress-Tradition, 2011, pp. 66—86 (in Russian).Knyazeva E. N. Temporal architecture of complexity, Synergetic paradigm. "Synergetics of innovative complexity", Moscow, Progress-Tradition, 2011, pp. 66—86 (in Russian).Allen J. F. In Silico Veritas. Data-Mining and Automated Discovery: The Truth Is in There, EMBO Reports, 2001, no 2, pp. 542—544.Allen J. F. In Silico Veritas. Data-Mining and Automated Discovery: The Truth Is in There, EMBO Reports, 2001, no 2, pp. 542—544.Dubrovsky D. I. The task of creating a general artificial intelligence and the problem of consciousness, Philosophical Sciences, 2021, vol. 64, no. 1, pp. 13—44 (in Russian).Dubrovsky D. I. The task of creating a general artificial intelligence and the problem of consciousness, Philosophical Sciences, 2021, vol. 64, no. 1, pp. 13—44 (in Russian).Lektorsky V. A. Commentary on L. Garai’s article "Complementarity of information theory and identity theory in human sciences", Questions of Philosophy, 2019, no. 5, pp. 124—127 (in Russian).Lektorsky V. A. Commentary on L. Garai’s article "Complementarity of information theory and identity theory in human sciences", Questions of Philosophy, 2019, no. 5, pp. 124—127 (in Russian).Dubrovsky D. I. Consciousness brain, artificial intelligence, Moscow, Strategy Center, 2007 (in Russian).Dubrovsky D. I. Consciousness brain, artificial intelligence, Moscow, Strategy Center, 2007 (in Russian).Munipov V. M., Zinchenko V. P. Ergonomics: humanoriented design of equipment, software and environment, Moscow, Logos, 2001 (in Russian).Munipov V. M., Zinchenko V. P. Ergonomics: humanoriented design of equipment, software and environment, Moscow, Logos, 2001 (in Russian).Lamont Wood Datapoint. The Lost Story of the Texans Who Invented the Personal Computer Revolution, Hugo House Publishers, Ltd, 2010.Lamont Wood Datapoint. The Lost Story of the Texans Who Invented the Personal Computer Revolution, Hugo House Publishers, Ltd, 2010.Maier M. W. Architecting Principles for System-of-Systems, Systems Engineering, 1998, no. 4, vol. 1, pp. 267—284.Maier M. W. Architecting Principles for System-of-Systems, Systems Engineering, 1998, no. 4, vol. 1, pp. 267—284.Sergeev S. F. The human factor in the evolution of the technogenic world, Automation. Computer science, 2016, no. 2 (39), pp. 39—44 (in Russian).Sergeev S. F. The human factor in the evolution of the technogenic world, Automation. Computer science, 2016, no. 2 (39), pp. 39—44 (in Russian).Joos E., Zeh H. D., Kiefer C., Giulini D., Kupsch J., Stamatescu I. O. Decoherence and the Appearance of a Classical World in Quantum Theory, Springer, Heidelberg, 2003.Joos E., Zeh H. D., Kiefer C., Giulini D., Kupsch J., Stamatescu I. O. Decoherence and the Appearance of a Classical World in Quantum Theory, Springer, Heidelberg, 2003.

The authors declare that there are no conflicts of interest present.