КОНФЕРЕНЦИЯҒА ҚОШ КЕЛДІҢІЗ
“КРЕАТИВТІ ҚАУЫМДАСТЫҚТАРДА ӘЛЕУМЕТТІК МІНЕЗ-ҚҰЛЫҚ ФЕНОМЕНДЕРІН МОДЕЛЬДЕУ ЖӘНЕ СИМУЛЯЦИЯЛАУ”

Конференция туралы

Соңғы онжылдықтарда әлеуметтік және гуманитарлық ғылымдардағы мәселелерді зерттеу үшін есептеу модельдері көбірек қолданыла бастады. Конференция информатика мен әлеуметтік және гуманитарлық ғылымдардың синтезіне қызығушылық туғызатын зерттеушілер мен практиктер арасында ашық диалог алаңын құруға, әлеуметтік-экономикалық процестерді модельдеу және симуляция мәселелерін жақсырақ түсінуге және тануға бағытталған.

Конференция тақырыптары

Пәнаралық бағыттылықтың арқасында конференция әлеуметтік және гуманитарлық ғылымдар (мысалы, экономика, әлеуметтану, ұйымдастыру теориясы, коммуникативті әрекет теориясы, менеджмент, әлеуметтік күрделілік, маркетинг және т.б.), операциялық зерттеулер, есептеу интеллекті, экономикалық физика, агентке бағытталған модельдеу, қолданбалы математика және т.б. ғылымдар саласындағы зерттеушілерді біріктіреді.

КОНФЕРЕНЦИЯ ТАРИХЫ

КОНФЕРЕНЦИЯНЫҢ ҰЙЫМДАСТЫРУШЫЛАРЫ

КОНФЕРЕНЦИЯНЫҢ БІРЛЕСКЕН ҰЙЫМДАСТЫРУШЫЛАРЫ

ХАЛЫҚАРАЛЫҚ БАҒДАРЛАМАЛЫҚ КОМИТЕТ

Нитин Агарвал
(Nitin Agarwal), Ph.D.,
Литтл-Роктағы Арканзас университеті, АҚШ
Тең-төраға

Леонидас Сакалаускас
(Leonidas Sakalauskas), Ph.D.,
Ұлы Витаутас университеті,
Литва
Тең төраға

Халықаралық бағдарлама комитетінің мүшелері

– Prof. Dr. Nilufar Abdurakhmonova, National University of Uzbekistan, Uzbekistan
– Prof. Manzura Abjalova, Alisher Navoi Tashkent State University of Uzbek Language and Literature, Uzbekistan
– Prof. Nitin Agarwal, University of Arkansas at Little Rock, USA
– Prof Dr. Akaki Arsenashvili, Tbilisi State University, Sakartvelo
– Prof. Fuad Aleskerov, Higher School of Economics, Russia
– Prof. Rakhman Alshanov, Turan University, Kazakhstan
– Prof. Dr. Elena Andreeva, Hanover Medical School, Germany
– Prof. Dr. Juozas Augutis, Vytautas Magnus University, Lithuania
– Prof. Adil Bagirov, Federation University Australia, Australia
– Prof. Laura Baitenova, Turan University, Kazakhstan
– Prof. Dr. Alexis Belianin, Higher School of Economics, Russia
– Prof. Gulmira Bekmanova, L.N. Gumilyov Eurasian National University, Kazakhstan
– Prof. Dr. Gordon Dash, University of Rhode Island, USA
– Prof. Dorien DeTombe, EWG on Ethics and OR, Netherlands
– Prof. Dr. George Kleiner, Financial University, Russia
– Prof. Vitalijus Denisovas, Klaipeda University, Lithuania
– Prof. Dr. Aiste Dirzyte, Mykolas Romeris University, Lithuania
– Prof. Dr. Cathal MacSwiney Brugha, University College Dublin, Ireland
– Prof. Dr. Walter Leal Filho, Hamburg University of Applied Sciences, Germany
– Prof. Ignacio Grossman, Carnegie Mellon University, USA
– Prof. Dr. Nella Israilova, Kyrgyz State Technical University, Kyrgyzstan
– Prof. Nina Kaiji, University of Rhode Island, USA
– Prof. Dr. Mikhail Kovalyov, United Institute of Informatics Problems, Belarus
– Prof. Jakob Krarup, Denmark Technical University, Denmark
– Prof. Suria Kumacheva, St. Petersburg State University, Russia
– Prof. Nelson Maculan, University Federal of Rio de Janeiro, Brasil
– Prof. Oleksandr Makarenko, Kyiv Technical University, Ukraine
– Prof. Orken Mamyrbayev, Institute of Information and Computational Technologies, Kazakhstan
– Prof. Dr. Madina Mansurova, Al-Farabi Kazakh National University, Kazakhstan
– Prof. Dr. Vladimir Mazalov, Petrozavodsk University, Russia
– Prof. Peep Miidla, Estonian Center of Industrial Mathematics, Estonia
– Prof. Marek Miłosz, Lublin University of Technology, Poland
– Prof. Shynar Mussiraliyeva, Al-Farabi Kazakh National University, Kazakhstan
– Prof. Batyrkhan Omarov, Al-Farabi Kazakh National University, Kazakhstan
– Prof. Dina Oralbekova, Satbayev University, Kazakhstan
– Prof. Dr. Diana Rakhimova, Al-Farabi Kazakh Natioal University, Kazakhstan
– Prof. Dina Razakova, Turan University, Kazakhstan
– Prof. Dr. Sankar Kumar Roy, Vidyasagar University, West Bengal, India
– Dr. Maxim Rybachuk, Financial University, Russia
– Prof. Maxatbek Satymbekov, Al-Farabi Kazakh Natioal University, Kazakhstan
– Prof. Roman Slowinski, Poznan University, Poland
– Prof. Christos Skiadas, Technical University of Crete, Greece
– Prof. Alexis Tsoukias, LAMSADE, France
– Prof. Dr. Ualsher Tukeyev, Al-Farabi Kazakh National University, Kazakhstan
– Prof. Mafura Uandykova, NarXoz University, Kazakhstan
– Prof. Sigitas Vaitkevicius, Vytautas Magnus University, Lithuania
– Prof. Gerhard-Wilhelm Weber, Poznan University, Poland
– Prof. Adilson Xavier, University Federal Rio de Janeiro, Brasil
– Prof. Edmundas-Kazinieras Zavadskas, Vilnius Technical University, Lithuania
– Prof. Xiaobo Zhao, Tsinghua University, China

ҰЙЫМДАСТЫРУ КОМИТЕТІ

Дина Разакова
(Dina Razakova), э.ғ.к., Ph.D.,
Туран университеті, Қазақстан
Төрайым

Ұйымдастыру комитетінің мүшелері

Лаура Байтенова (Laura Baitenova), Туран университеті, Қазақстан
Мафура Уандыкова (Mafura Uandykova), Нархоз университеті, Қазақстан
Максим Рыбачук (Maxim Rybachuk), Ресей Федерациясы Үкіметі жанындағы Қаржы университеті, Ресей
Леонидас Сакалаускас (Leonidas Sakalauskas), Ұлы Витовта университеті, Литва
Витаутас Дульскис (Vytautas Dulskis), Вильнюс университеті, Литва

ПЛЕНАРАЛЫҚ БАЯНДАМАШЫЛАР

Prof. Dr. Marat Akhmet,
Middle East Technical University, Turkey

Prof Dr. George B. Kleiner,
Financial University,
Russia

Prof. Madina Mansurova,
Al-Farabi Kazakh National University, Kazakhstan

Prof. Nilufar Abdurakhmonova,
National University of Uzbekistan, Uzbekistan

Prof. Leonidas Sakalauskas,
Vytautas Magnus University, Lithuania

Prof. Dr. Cathal Brugha,
University College Dublin,
Ireland

КОНФЕРЕНЦИЯНЫҢ БАҒДАРЛАМАСЫ

* Бағдарламадағы уақыт GMT+5 уақыт белдеуінде көрсетілген (Алматы, Қазақстан)

Registration

Conference Opening & Welcome Remarks

Chairman
  • Leonidas Sakalauskas (Vytautas Magnus University, Lithuania)

Rakhman Alshanov

Prof. Dr. Rakhman Alshanov,
Rector of Turan University, Kazakhstan

Plenary Session

Chairman
  • Dina Razakova (Turan University, Kazakhstan)

Leonidas Sakalauskas
(Vilnius, Lithuania)

Prof. Leonidas Sakalauskas,
Vytautas Magnus University, Lithuania

FROM THE TRAGEDY OF THE COMMONS AND IMPOSSIBILITY THEOREMS TO CONSENSUS

In order to understand the phenomena of today’s social behavior, the following abstract approach is considered. Assume a set (group, community, network, etc.) of agents (individuals, persons, network nodes, etc.) is monitored and analyzed concerning the use of some resource. This model is often considered the “tragedy of the commons” (G. Hardin, 1968). The resources on which decisions are made may be economic and environmental, and, more recently, the use of shared resources in digital space is becoming increasingly relevant (G.M. Greco and L. Floridi, 2004). The central concept becomes “consensus,” an agreement between agents regarding the group solution or decision. In distributed data systems, say, in blockchain, the consensus is the agreement of a group of participants regarding the meaning of some state and data consistency. The role of impossibility theorems, including Arrow and Fisher-Lynch-Paterson theorems, formulated and explored with the application of non-classic logic models and reflexive game theory in constructing consensus algorithms, is discussed (V. Gisin, 2023). This approach helps us explain certain paradoxes of "group thinking." The methodology of mathematical-computer modeling of social behavior phenomena, using structural equation modeling, game theory, and multi-agent modeling methods, is also reviewed.

Amandyk Tuleshov
(Almaty, Kazakhstan)

Dr. Prof. Amandyk Tuleshov,
Institute of Mechanics and Engineering named after Academician U.A. Dzholdasbekov CS MES RK, Kazakhstan

ORGANIZING RESEARCH BEHAVIOR OF EXECUTORS IN AN INTERDISCIPLINARY PROJECT ON DIGITALIZATION OF PRODUCTION

George Kleiner
(Moscow, Russia)

Corresponding Member of the RAS, Prof. Dr. George Kleiner,
Financial University, Russia

SYSTEM ECONOMY AS A PLATFORM FOR ANALYSIS AND MODELING OF SOCIAL DEVELOPMENT

The main factor that complicates the construction of adequate and effective models of social phenomena in the context of big data, a developed Internet environment, artificial intelligence technology, etc., is the gap between the methods of modeling the processes of the dynamics of the material world, social consciousness, individual spiritual development, and real action. A theoretical and methodological platform is needed that allows the integration of models of the dynamics of the organizational structure, process flows, infrastructure, intentions, and plans of participants in economic activity. System economy is the answer - a concept representing the socio-economic space as a field of emergence, interaction, transformation and liquidation of socio-economic systems. This representation not only simplifies the process but also allows us to develop an axiomatic typology of systems, including the interrelations of their functional and morphological characteristics, to describe the main features of the algebra of socio-economic systems. A typical element of the economy in this approach is a tetrad - a relatively stable complex of organizational, process, project and environmental systems interacting with each other in the space-time continuum according to the laws of homeostasis.
The lecture will cover the main directions of development of the system economy and examples of its application in economic policy development, effective management, and sustainable development.

Maksat Kalimoldayev
(Almaty, Kazakhstan)

Dr. Prof. Maksat Kalimoldayev,
Institute of Information and Computational Technologies CS MES RK, Kazakhstan

DEVELOPMENT OF MATHEMATICAL MODELS AND ALGORITHMS FOR CREATING A SOFTWARE PACKAGE FOR STABILIZING COMPLEX ELECTRIC POWER SYSTEMS

Alexey Tsekhovoy
(Almaty, Kazakhstan)

Dr. Prof. Alexey Tsekhovoy,
Satbayev University, Kazakhstan

MODELING AGILE TEAMS IN KNOWLEDGE-ORIENTED ORGANIZATIONS: BEHAVIORAL PHENOMENA AND COGNITIVE COMPLEMENTARITY

The report analyzes the key challenges that the leader of a knowledge-oriented organization faces when forming an Agile team. Particular attention is paid to cognitive complementarity and distribution of roles according to the PAEI code of Itzhak Adizes. The team must demonstrate a balanced combination of four roles: Producing (P), Administrating (A), Entrepreneurial (E) and Integrating (I), as well as possess four types of thinking: systems-analytical, critical, creative and lateral. The formation of such a balance is accompanied by difficulties in integrating different cognitive and behavioral styles, which often leads to conflicts and dominance of one type of thinking. The report offers approaches to address these challenges, focusing on preventing cognitive inertia and maintaining team productivity in the face of diversity. It also explores the challenges of moving from a traditional hierarchical structure to a flexible Agile model, and how to maintain a balance between team autonomy and management control. The conclusion examines approaches to predicting and managing cognitive and organizational dynamics during the transition to Agile, inviting conference participants to discuss these issues through the lens of socio-behavioral modeling.

Coffee Break

(S1) Navigating Challenges: Economic Growth, Mental Health, and Technological Advancements in Kazakhstan (Turan University Session)

Chairman
  • Laura Baitenova (Turan University, Kazakhstan)

List of participants
  • Alibek Adalbek, Seyit Kerimkhulle*, Laura Baitenova, Mafura Uandykova USING INTELLIGENT COMPUTABLE MODEL TO CLASSIFY ECONOMIC GROWTH BY KAZAKHSTAN STATISTICS
  • Zhanar Sagindikova, Madyar Rsaev STUDYING THE PHENOMENON OF “MENTAL TERRORISM” IN KAZAKHSTAN SOCIETY
  • Sabit Rashev USING OF ARTIFICIAL INTELLIGENCE IN TECHNOLOGICAL PROCESSES OF THE MINING AND METALLURGICAL INDUSTRY
  • Mukhamejanov Serzhan*, Mukhamejanova Gulnar USING ARTIFICIAL INTELLIGENCE TO OPTIMIZE BUSINESS PROCESSES: ANALYSIS AND PROSPECTS

Lunch

(S2) System-Based Modeling and Space-Time Analysis in Economics

Chairman
  • George Kleiner (Financial University, Russia)
  • Maxim Rybachuk (Financial University, Russia)

List of participants
  • Vladimir Maltsev, Olga Pyrkina*, Andrei Yudanov MODEL OF AN ENCAPSULATED KNOWLEDGE APPLICATION IN FIRM ENTREPRENEURIAL BUSINESS: FINITE STATE MACHINE WITH CONTROLLING ACTION OF ENTREPRENEUR
  • Vytautas Dulskis EFFICIENT ONLINE ESTIMATION OF DYNAMIC STRUCTURAL EQUATION MODELS: CONJECTURING ON FEASIBILITY
  • Dorien DeTombe* CLIMATE CHANGE, A SOCIETAL COMPLEX PROBLEM
  • Maxim Rybachuk ECONOMIC AGENTS AND SOCIAL INSTITUTIONS: A BEHAVIORAL INTERACTION MODEL
  • Jakutis Mindaugas* ETHNIC NATION INDEX

Coffee Break

(S3) Game-theoretic Models of Social Processes – Part I

Chairman
  • Vladimir Mazalov (KarRC of the RAS, Russia)
  • Suria Kumacheva (St. Petersburg State University, Russia)

List of participants
  • Denis Kuzyutin, Nadezhda Smirnova ON MULTI-OBJECTIVE GAME-THEORETIC MODELS WITH ASYMMETRIC PLAYERS
  • Guennady Ougolnitsky, Olga Gorbaneva INVESTMENT STRATEGIES AND PRIVATE INTERESTS IN THE HIERARCHICAL MANAGEMENT SYSTEMS
  • Leon Petrosyan, Yaroslavna Pankratova THE TIME INCONSISTENCY OF COMMUNICATION STRUCTURES IN DYNAMIC COOPERATIVE NETWORK GAMES
  • Aleksandra Grinikh* THE NEW APPROACH FOR N-PERSON PRISONER'S DILEMMA ON A HYPERGRAPH

Welcome Party

Registration

Invited Lectures

Nilufar Abdurakhmonova
(Tashkent, Uzbekistan)

Prof. Nilufar Abdurakhmonova,
National University of Uzbekistan, Uzbekistan

PARATRANSLATOR-UZBEK PARALLEL CORPUS: APPROACHES, CHALLENGES AND SOLUTION

Currently digital linguistic available data in the internet is major means of implementation to solve problems involving natural language processing. Particularly intellectual text and speech technologies are binding with huge linguistic resources that is required all aspect of understanding human mind. Recent year’s machine translation system developed rapidly due to enhancing capabilities human language infrastructure regarding to corpus technologies. In this case parallel corpora for machine translation technologies are crucial base to mine data to align appropriate matching lexemes and sentence pairs. Obviously English has vast opportunities for all world languages using AI neural system in multilingual machine translation platform and dominated in this sphere for smart technologies. We can say one vivid example is huge contribution to develop translation technology creation Europarl corpus which consists of 30 million words of 11 official languages of the European Union. Hence it can’t be said that the quality of translation is not good enough for scientific and official texts from Uzbek into English. For example Google is one instance for Uzbek the fact that word sense disambiguation and terminological system is considered as a challenge.
Considering above mentioned core issues to enrich parallel corpora for machine translation we obtained scientific-practical project entitled “PRATRANSLATOR: Creation corpus based context logical electronic translation platform” (2024-2025) financed by Ministry of Higher Education, Science and Innovations of the Republic of Uzbekistan. This project focused to build parallel texts Uzbek, English, French, Russian, and Turkish. Our methodological approach is to compile the texts using translation memory and Crawler of Python to segment as the stage of betexts based web corpus and human factors for all styles translated texts into Uzbek or from Uzbek for other foreign languages. It helps to fill up the database of terminological and polisemantic words which translated in literary texts as metaphor and phraseological unites which Google mismatching segments semantically. We hope that this contribution encourages investigations on machine translation technologies and translation studies for lexicography and terminography.

Cathal Brugha
(Dublin, Ireland)

Prof. Dr. Cathal Brugha,
University College Dublin, Ireland

A META-SYSTEM FOR CONFLICT RESOLUTION

The nomology, the science of the laws of the mind is used, providing frameworks based on four embedded layers that explain how people come into conflict. A decision science approach is used to structuring qualitative decisions, to put Drama Theory, and Confrontation and Collaboration Analysis, into a framework based on a succession of dichotomies, whether to use direct or indirect action, combine to form General Political Adjustment Activities, which have corresponding dilemmas: Collaboration (Harmony), Cooperation (Agreement), Confrontation (Persuasion) and Conflict (Escalation). The third dichotomy is based on whether to use a more personal approach generates eight Principal Political Adjustment Activities along with corresponding Dilemmas: Unilateralism (Backlash), Negotiation (Recognition), Credibility (Awareness), Trust (Renege), Inducement (Rejection), Deterrence (Incitement), Positioning (Vulnerabilty), and Threat (Weakness). Of these, Unilateralism and Negotiation are new to Drama Theory. Also, most of the dilemmas are named here for the first time. The person involved in a conflict resolution process should try to draw the conflicted person out ‚anger‘ to ‚avoid more violence‘ , from ‚grief‘ to ‚show respect‘, from ‚fear‘ to ‚improve conditions‘, from ‚shock‘ to ‚include all parties‘, from feeling the sense of ‚atrocity‘ to ‚encourage civil society‘, from ‚retaliation‘ to ‚consult/train/counsel‘, from ‚revenge‘ to ‚bridge-building‘, from ‚bitterness‘ to ‚truth and reconcilation‘.

Coffee Break

(S4) Game-theoretic Models of Social Processes – Part II

Chairman
  • Vladimir Mazalov (KarRC of the RAS, Russia)
  • Suria Kumacheva (St. Petersburg State University, Russia)

List of participants
  • Vladislav Taynitskiy, Elena Gubar, Ilyass Dahmouni THE EFFECT OF NEWS DISSEMINATION ON INFECTION DYNAMICS: AN EVOLUTIONARY EPIDEMIC MODEL IN A NETWORK SETTING
  • Suriya Kumacheva, Ekaterina Zhitkova, Galina Tomilina IMPACT OF PUBLIC ATTITUDES TOWARDS VACCINATION ON INFLUENZA EPIDEMIC DYNAMICS
  • Leonidas Sakalauskas, Aiste Dirzyte*, Vitalijus Denisovas SIMULATING ANXIETY PROPAGATION UNDER THREAT STIMULI FLOW: A HYBRID MODEL
  • Igor Tantlevskij, Denis Kuzyutin, Nadezhda Smirnova A SIGNED NETWORK MODEL OF THE INTERACTION BETWEEN RELIGIOUS AND IDEOLOGICAL MOVEMENTS AND AUTHORITY IN ANCIENT JUDEA

Lunch

(S5) Social Media Content Analysis and Deviant Behavior Detection

Chairman
  • Nilufar Abdurakhmonova (National University of Uzbekistan, Uzbekistan)
  • Leonidas Sakalauskas (Vytautas Magnus University, Lithuania)

List of participants
  • Milana Bolatbek ANALYZING CORPORATE NETWORK TRAFFIC DATA FOR DETECTION AND PREVENTION OF ILLEGAL INTERNET USE
  • Kuralai Azanbai* ANALYSIS OF SYSTEMS FOR RECOGNIZING POLITICAL EXTREMISM IN ONLINE SOCIAL NETWORKS
  • Zhansaya Duisenbekkyzy RESEARCH ON THE IMPACT OF SOCIAL NETWORKS ON THE DEVELOPMENT OF BILINGUALISM IN KAZAKHSTAN
  • Sharipa Temirgazieva* DEVELOPMENT OF A METHOD FOR GRAPHICAL DESTRUCTIVE CONTENT ANALYSIS
  • Nitin Agarwal* MOBS SIMULATION GUIDED BY SOCIAL SCIENCE-BASED MULTI-THEORETICAL FRAMEWORK

Coffee Break

(S6) Concepts, Models and Instruments for Overcoming the Complex Societal Problems –
Part I

Chairman
  • Daiva Bubeliene (Vytautas Magnus University, Lithuania)
  • Vytautas Dulskis (Vilnius University, Lithuania)
 
List of participants
  • Svetlana Shchepetova FREEDOM AND DETERMINACY OF SOCIO-ECONOMIC BEHAVIOR OF INDIVIDUALS AND COMMUNITIES IN LIGHT OF THE METHODOLOGY OF SYSTEMS MODELING
  • Gediminas Merkys, Sigitas Balciunas, Daiva Bubeliene*, Sigitas Vaitkevicius, Leonidas Sakalauskas QUANTIFICATION OF THE HISTORY OF SECTORAL POLICY AND GOVERNANCE: EVALUATION OF THE EFFECTIVENESS OF GENERAL EDUCATION IN LITHUANIA 1990-2020
  • Talshyn Sarsembayeva IDENTIFYING FACTORS AND THEIR IMPACT ON THE LEVEL OF SATISFACTION WITH THE EDUCATIONAL PROCESS
  • Bauyrzhan Kairatuly* INTERDISCIPLINARY SOCIO-HUMANITARIAN STUDY OF THE CURRENT STATE, OPPORTUNITIES AND PROSPECTS OF KAZAKH SOCIETY IN THE CONTEXT OF THE CHALLENGES OF GLOBAL DIGITALIZATION AND THE DEVELOPMENT OF SOCIO-HUMANITARIAN AND POLITICAL TECHNOLOGIES FOR MANAGING THE RISKS OF THE DIGITAL SOCIETY IN KAZAKHSTAN

Conference Dinner

Registration

Invited Lectures

Marat Akhmet
(Ankara, Turkey)

Prof. Dr. Marat Akhmet,
Middle East Technical University, Turkey

ULTRA POINCARE CHAOS AND SOCIAL SCIENCES

We recently launched an innovative concept in advanced dynamics known as ultra Poincaré chaos. In contrast to conventional conservative methods, this form of chaos is based entirely on the dynamics of a single trajectory. The numerical validation of this behaviour is both reliable and straightforward, making it particularly relevant for effective application in the social sciences. This approach utilizes data gathered from observations and experiments in conjunction with solutions to differential and difference equations. Additionally, we will examine the advantages of this chaotic model in confirming synchronization.
Our discussion will underscore the significance of chaotic models in analysing various domains, including economics, history, politics, and education. We will focus particularly on neural network dynamics, given that brain activity serves as a fundamental basis for all social sciences.
Building on our mathematical findings, we propose new functions designed specifically for modelling time series that have emerged in contemporary research. During our presentation, we will showcase examples of these applications, illustrating how the study of social dynamics—one of the most complex areas—can effectively utilize our insights. Finally, we will present persuasive arguments underscoring the significance of studying chaos and the presence of thresholds in the history of dynamical systems, particularly in relation to complexity. We will contrast what we refer to as “chaotic” modelling with “industrial” modelling. The relevance of chaotic models for the social sciences is driven by the inherent complexity of the dynamics involved.

Madina Mansurova
(Almaty, Kazakhstan)

Prof. Madina Mansurova,
Al-Farabi Kazakh National University, Kazakhstan

THE ROLE OF ARTIFICIAL INTELLIGENCE AND VISUAL ANALYTICS IN DIGITAL SOCIETY

In the contemporary digital society, artificial intelligence (AI) and visual analytics play essential roles in transforming extensive datasets into actionable insights and enhancing decision-making processes. AI‘s advanced algorithms automate the analysis of complex data, identifying patterns and making predictions that are crucial for managing the enormous volumes of data generated by modern technologies. This capability enables organizations to handle and interpret data more effectively than traditional methods allow.
Visual analytics complements AI by providing interactive and intuitive visual representations of data, which facilitate easier understanding and exploration. By translating raw data into visual formats such as graphs and heat maps, visual analytics helps users quickly grasp complex information and identify trends and anomalies that may not be evident through numerical data alone. This approach enhances the interpretative process, making it more accessible and actionable.
The integration of AI and visual analytics results in a powerful synergy that enhances both data processing and visualization. This combined approach is beneficial across various sectors, including healthcare, urban planning, and business. It supports improved decision-making, fosters innovation, and addresses the multifaceted challenges of the digital era by offering deeper insights and more effective solutions.

Coffee Break

(S7) Concepts, Models and Instruments for Overcoming the Complex Societal Problems –
Part II

Chairman
  • Daiva Bubeliene (Vytautas Magnus University, Lithuania)
  • Vytautas Dulskis (Vilnius University, Lithuania)

List of participants
  • Lazzat Zhamaliyeva*, Rauan Zhiyenbayeva, Akalka Zhubatkankyzy, Arinaz Kabyl, Botakoz Malsova, Aigerim Azamatova DEPRESSION STIGMA IN MEDICAL STUDENTS IN KAZAKHSTAN: ARE THERE CULTURAL DIFFERENCES?
  • Nauryz Baizakov*, Mafura Uandykova, Gulnar Astaubayeva, Gulnar Muhamejanova, Tolkyn Mirkasimova, Anel Yeleukulova METHODS AND TOOLS TO INCREASE TRANSPARENCY AND ACCOUNTABILITY OF GOVERNMENT PROGRAMS
  • Anel Yeleukulova*, Mafura Uandykova, Gulnar Astaubayeva, Gulnar Muhamejanova, Tolkyn Mirkasimova METHODS OF EVALUATION AND MONITORING OF GOVERNMENT PROGRAMS IN AN UNSTABLE ECONOMIC SITUATION
  • Madiyar Abibulla AGILE METHODOLOGY IN THE DEVELOPMENT OF THE BUDGET PLANNING SYSTEM
  • Tomas Balezentis*, Agne Zickiene, Artiom Volkov, Dalia Streimikiene, Mangirdas Morkunas, Vida Dabkiene, Erika Ribasauskiene USING EXPERT ASSESSMENTS IN QUANTIFYING IMPACTS ON THE AGRI-FOOD SUPPLY CHAINS

Lunch

(S8) Large Language Models in an Analysis of Social-Behavioral Phenomena

Chairman
  • Ualsher Tukeyev (Al-Farabi Kazakh National University, Kazakhstan)
  • Madina Mansurova (Al-Farabi Kazakh National University, Kazakhstan)

List of participants
  • Diana Rakhimova COLLECTION AND PREPROCESSING OF DATA FOR LLM IN THE KAZAKH LANGUAGE IN THE FIELD OF LEGISLATION
  • Zhazira Shaikhiyeva* CLUSTERIZATION OF COMMENTS USING A LARGE LANGUAGE MODEL IN FINTECH
  • Ualsher Tukeyev STUDY OF NEURAL MODELS FOR THE FORMATION OF TRANSCRIPTS OF SPEECH AND MINUTES OF MEETINGS IN TURKIC LANGUAGES
  • Elmira Nazirova, Kamola Usmonova* ALGORITHMIC STRATEGIES FOR STEMMING COMPLEX WORD FROM UZBEK TO ENGLISH IN MACHINE TRANSLATION
  • Dina Oralbekova*, Orken Mamyrbayev, Sholpan Zhumagulova, Nurdaulet Zhumazhan COMPARATIVE STUDY OF LSTM AND BERT MODELS FOR MULTI-CLASSIFICATION TASKS USING THE NER DATASET

Coffee Break

Open Panel Discussion

Chairman
  • Marat Akhmet (Middle East Technical University, Turkey)
  • Leonidas Sakalauskas (Vytautas Magnus University, Lithuania)

Akylbek Zhamanshin
(Aktobe, Kazakhstan)

Dr. Akylbek Zhamanshin,
Herriot-Watt University Aktobe Campus, Kazakhstan

UNPREDICTABILITY IN COHEN-GROSSBERG NEURAL NETWORKS

Cohen–Grossberg neural networks were firstly proposed by Cohen M. and Grossberg S. in 1983 [1]. The class of models has intensive applications within various engineering and scientific fields such as neuro-biology, population dynamics and computing technology. Moreover, Cohen–Grossberg neural networks include as sub-classes cellular and Hopfield neural networks. This is why, many researchers are focused on investigating the dynamics of Cohen–Grossberg neural networks, in particular, periodic and almost periodic oscillations. In turn, a few years ago, Professor Akhmet M. and his colleague extended the concept of recurrent motions to unpredictable ones [2]. The newly introduced movements have chaotic dynamics. In our study, we provide theoretical as well as numerical results for recurrent oscillations in Cohen-Grossberg neural networks with variable inputs and strengths of connectivity for cells, which are unpredictable functions. A special case, when the coefficients are compartmental with periodic and unpredictable ingredients is also carefully researched. By numerical and graphical analysis, it is shown how a constructive technical characteristic, the degree of periodicity, reflects contributions of the ingredients in final outputs of the neural networks. Sufficient conditions are obtained to guarantee the existence of exponentially stable unpredictable outputs of the models. They are specified for Poisson stability by utilizing the original method of included intervals. Examples with numerical simulations that support the theoretical results are provided.

References
1. M. Cohen, S. Grossberg, Absolute stability and global pattern formation and parallel memory storage by competitive neural networks, IEEE Trans Syst Man Cybernet 13 (1983) 815–826.
2. M. Akhmet, M. Fen, Poincare chaos and unpredictable functions, Communications in Nonlinear Science and Numerical Simulation 48 (2017), 85–94.

Zakhira Nugayeva
(Aktobe, Kazakhstan)

Dr. Zakhira Nugayeva,
Herriot-Watt University Aktobe Campus, Kazakhstan

THEORETICAL INVESTIGATION OF IMPULSIVE HOPFIELD NEURAL NETWORKS DYNAMICS IN SOCIAL SCIENCE RESEARCH

The advent of artificial intelligence and machine learning has brought transformative changes across various fields of study. Neural networks, a critical component of this technological revolution, have been at the forefront of these developments. The networks, inspired by the human brain's architecture, have demonstrated remarkable capabilities in tasks ranging from image recognition and natural language processing to predictive analytics.
While neural networks are widely recognized for their applications in processing and interpreting large datasets, their potential for advancing theoretical and applied research in the social sciences is still underexplored. Social scientists are increasingly faced with complex systems that are difficult to model using traditional statistical methods. This is particularly true in areas where the dynamics of human behavior, social interactions, and societal changes involve non-linear relationships, feedback loops, and unpredictable influences [1]. As such, there is a growing need to explore how advanced neural network models, particularly those that accommodate more inmtricate and less predictable dynamics, can be integrated into social science research.
This research aims to contribute to this field by studying the dynamics of Hopfield neural networks with impulsive effects [2], focusing on Poisson stable rates, synaptic connections, and unpredictable external inputs. The specific focus of this research is on the dynamic behaviors of Hopfield neural networks when subject to impulsive effects—sudden, discontinuous changes that can significantly alter the state of the network. The impulsive effects can be thought of as analogous to sudden shocks or disruptions in social systems, such as economic crises, social upheavals. By examining the effects of these impulses on the stability and behavior of the network, this study seeks to extend the theoretical understanding of how such networks can model complex social phenomena.

References
1. Garson, G.D. Neural Networks: An Introductory Guide for Social Scientists. Sage Publications. London 1998.
2. Hopfield, J.J. Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. USA 1982, 79, 2554–2558.

Discussion

Conference Closing

МАҢЫЗДЫ КҮНДЕР

Сипаттамасы

Күндер

Тіркеудің басталуы:

– 30 қараша 2023 жыл

Секциялар жұмысын ұйымдастыру бойынша ұсыныстарды қабылдау мерзімі:

– 20 наурыз 2024 жыл

Springer Proceedings конференция материалдарының жинағына мақала аннотацияларын тіркеу және ұсыну:

– 29 сәуір 2024 жыл

Конференция материалдарының жинағына мақала жіберу:

– 05 мамыр 2024 жыл

Мақалаларды жариялауға қабылданғаны туралы хабарлама:

– 15 маусым 2024 жыл

Мерзімінен бұрын тіркелу (жеңілдікпен тіркеу жарнасын төлеу):

– 08 қыркүйек 2024 жыл

Конференция материалдарының жинағында жарияланбайтын мақала аннотацияларын тіркеу және ұсыну:

– 15 қыркүйек 2024 жыл

Конференция:

– 18-20 қыркүйек 2024 жыл

Жоғары рейтингті журналдарға мақалаларды жіберу:

– 15 қараша 2024 жыл

Тарифтік Жоспарлар*

Full-time

45

  • Conference materials package
  • Conference reports’ Book of Abstracts
  • Access to the halls for all conference sessions
  • Coffee break, lunch, welcome party

Student

20

  • Conference materials package
  • Conference reports’ Book of Abstracts
  • Access to the halls for all conference sessions
  • Coffee break, lunch, welcome party

Virtual

30

  • Conference reports’ Book of Abstracts (in electronic form)
  • Access to all conference sessions on the Zoom platform

Full-time

60

  • Conference materials package
  • Conference reports’ Book of Abstracts
  • Access to the halls for all conference sessions
  • Coffee break, lunch, welcome party

Student

30

  • Conference materials package
  • Conference reports’ Book of Abstracts
  • Access to the halls for all conference sessions
  • Coffee break, lunch, welcome party

Virtual

40

  • Conference reports’ Book of Abstracts (in electronic form)
  • Access to all conference sessions on the Zoom platform

* A special promotional price is applied for participants from developing countries.
IMPORTANT! The registration fee is paid in national currency at the official exchange rate of the country.

жариялау туралы

We encourage researchers who are starting or developing their research related to computing and OR in social sciences to present their work for discussion and take part in the tutorials on the challenging topics of modelling and simulation of social-behavioural phenomena in creative societies.

Contributors can opt to participate in the conference with or without a paper for Proceedings. In case of without a paper for Proceedings, just an abstract of the talk is required. In case of with a paper for Proceedings, a short paper is required. The Proceedings of the conference will be published in Springer Conference Proceedings Series “Communications in Computer and Information Science” (CCIS).

The volume of MSBC-2024 Springer Conference Proceedings in series “Communications in Computer and Information Science” will be delivered for participants during the conference.

Payment of the registration fee is a requirement for the publication of an article.

Participants can submit full papers on the conference topics for publication in the Special Issue of the Eurasian Journal of Mathematical and Computer Applications or the Special Issue of the Journal of Operations Research Society of China.

In addition to the conference Proceedings and a special issue in the post-conference journal, a collective monograph on the subject of the conference topics will be published by a worldwide publisher. The title and content of the book will be announced before the conference.

Конференцияның трансляциясы

ОҚИҒА АДРЕСИ


«Тұран» университеті
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Қазақстан Республикасы, Алматы қ.,
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