arXiv subjects

Eldar Knar

Publications and source records attributed to Eldar Knar.

12 recordsLinked to original sources

arXiv2025

Apology of Green Digitalization in the Context of Information and Climate Feedback Theory

Amid accelerated digitalization, not only is the scale of data processing and storage increasing, but so too is the associated infrastructure load on the climate. Current climate models and environmental protocols almost entirely overlook the impact of information and communication technologies on the thermal and energy balance of the biosphere. This paper proposes the theory of information and climate feedback (ICF) as a new nonlinear model describing the loop of digitalization, energy consumption, the thermal footprint, the climatic response, and the vulnerability of digital infrastructure. The system is formalized via differential equations with delays and parameters of sensitivity, greenness, and phase stability. A multiscenario numerical analysis, phase reconstructions, and thermal cartography were conducted. Critical regimes, including digital overheating, fluctuational instability, and infrastructural collapse in the absence of adaptive measures, were identified. The paper concludes with the proposal of an international agreement titled the Green Digital Accord and a set of metrics for sustainable digitalization. This work integrates climatology, information technologies, and the political economy of sustainability.

physics.soc-ph↗

arXiv2025

PANDAVA: Semantic and Reflexive Protocol for Interdisciplinary and Cognitive Knowledge Synthesis

Modern science faces the need to move from linear systematic review protocols to deeper cognitive navigation across fields of knowledge. In this context, the PANDAVA protocol (Protocol for Analysis and Navigation of Deep Argumentative and Valued Knowledge) is designed for analysing the semantic structures of scientific knowledge. It combines semantic mapping, assessment of concept maturity, clustering, and generation of new hypotheses. PANDAVA is interpreted as the first interdisciplinary protocol for knowledge systematization focused on semantic and cognitive mapping. The PANDAVA protocol integrates quantitative analysis methods with reflective procedures for comprehending the structure of knowledge and is applied in interdisciplinary, theoretically saturated fields where traditional models such as PRISMA prove insufficient. As an example, the protocol was applied to analyse the abiogenesis hypotheses. Modelling demonstrated how to structure theories of the origin of life through the integration of data on microlight, turbulent processes, and geochemical sources. PANDAVA enables researchers to identify strong and weak concepts, construct knowledge maps, and develop new hypotheses. Overall, PANDAVA represents a cognitively enriched tool for meaningful knowledge management, fostering the transition from the representation of facts to the design of new scientific paradigms.

physics.soc-ph↗

arXiv2025

Research Power Ranking: Adapting the Elo System to Quantify Scientist Evaluation

This paper presents an original model for assessing scientific productivity, research power ranking, RPR, which is based on the adaptation of the Elo rating system to the context of scientific activity. Unlike traditional scientometric indicators, RPR accounts for the dynamics, multidimensionality, and relativity of research power. The model comprises three components fundamental, applied, and commercial activity each represented by a separate rating and updated on the basis of probabilistic scientific games analogous to chess matches. The scientific rating of each researcher is calculated as a weighted sum of the components, allowing the model to reflect not only their current position but also their career trajectory, including phase transitions, breakthroughs, and changes in scientific style. Numerical simulations were conducted for both the individual trajectories and population level distributions of the researchers. Phase diagrams were constructed, and a typology of scientific styles was formulated. The results demonstrate that RPR can serve as a universal tool for objective assessment, strategic planning, and visualization of scientific reputation in both academic and applied environments.

physics.soc-ph↗

arXiv2025

Dynamics of Insect Paraintelligence: How a Mindless Colony of Ants Meaningfully Moves a Beetle

In this work, a new concept called Vector Dissipation of Randomness (VDR) is developed and formalized. It describes the mechanism by which complex multicomponent systems transition from chaos to order through the filtering of random directions, accumulation of information in the environment, and self-organization of agents. VDR explains how individual random strategies can evolve into collective goaldirected behavior, leading to the emergence of an ordered structure without centralized control. To test the proposed model, a numerical simulation of the "ant and beetle" system was conducted, in which agents (ants) randomly choose movement directions, but through feedback mechanisms and filtering of weak strategies, they form a single coordinated vector of the beetles movement. VDR is a universal mechanism applicable to a wide range of self-organizing systems, including biological populations, decentralized technological networks, sociological processes, and artificial intelligence algorithms. For the first time, an equation of the normalized emergence function in the processing of vector dissipation of randomness in the Ant and Beetle system has been formulated. The concept of paraintelligence was introduced for the first time. Insect paraintelligence is interpreted as a rational functionality that is close to or equivalent to intelligent activity in the absence of reflexive consciousness and selfawareness.

physics.soc-ph↗

arXiv2025

Haderach Principle: symbiosis of scientific formalism and informal perspectives

Current research funding systems are subject to structural imbalances, where formal criteria such as the H-index and the number of publications dominate over the potential and actual scientific prospects of researchers. This leads to the suppression of potential breakthrough research directions and limited access to grants for stochastic (innovative) researchers. In this paper, we propose a dynamic agent-based model of research grant redistribution that takes into account the adaptive mechanism of funding redistribution on the basis of the quality of stochastic research. The simulation was conducted on a sample of 21,534 Kazakhstani researchers with 30 iterations, during which the growth of the formal features of stochastic scientists was analyzed under different grant distribution scenarios. A grant redistribution parameter {\lambda} was introduced, which controls adaptive funding. The results showed that at {\lambda}=0.15, stochastic scientists begin to catch up with formal scientists in terms of productivity without destabilizing the scientific system. On the basis of the data obtained, a principle called the Haderach principle was proposed. It consists of a dynamic balance between formal (stable) and stochastic (informal) science. The developed approach can be used to optimize grant systems, allowing the elimination of barriers to new scientific directions and potential achievements without losing the stability of traditional schools. New concepts and terms of scientific vocabulary are introduced: the Haderach principle, excluded science, supplemented science, grant monopoly, and so on. Article structured V new IRPAS (Induction, Related Works, Processing, Analysis, Synthesis) notations.

physics.soc-ph↗

arXiv2025

Optimal Salaries of Researchers with Motivational Emergence

In the context of scientific policy and science management, this study examines the system of nonuniform wage distribution for researchers. A nonlinear mathematical model of optimal remuneration for scientific workers has been developed, considering key and additive aspects of scientific activity: basic qualifications, research productivity, collaborative projects, skill enhancement, distinctions, and international collaborations. Unlike traditional linear schemes, the proposed approach is based on exponential and logarithmic dependencies, allowing for the consideration of saturation effects and preventing artificial wage growth due to mechanical increases in scientific productivity indicators. The study includes detailed calculations of optimal, minimum, and maximum wages, demonstrating a fair distribution of remuneration on the basis of researcher productivity. A linear increase in publication activity or grant funding should not lead to uncontrolled salary growth, thus avoiding distortions in the motivational system. The results of this study can be used to reform and modernize the wage system for researchers in Kazakhstan and other countries, as well as to optimize grant-based science funding mechanisms. The proposed methodology fosters scientific motivation, long-term productivity, and the internationalization of research while also promoting self-actualization and ultimately forming an adequate and authentic reward system for the research community. Specifically, in resource-limited scientific systems, science policy should focus on the qualitative development of individual researchers rather than quantitative expansion (e.g., increasing the number of scientists). This can be achieved through the productive progress of their motivation and self-actualization.

econ.EM↗

arXiv2025

Postsingular Science

This study presents, for the first time, a conceptual and formal model of postsingular science (PSS), which analyses and interprets changes in scientific knowledge driven by accelerating technological progress, singularity, and the integration of artificial intelligence (AI) into scientific processes. The PSS model is based on the interplay of six key components: cumulative knowledge, intelligence, technological synergy, quantum information, social dynamics, and environmental sustainability. The interaction of these variables is described through a system of nonlinear differential equations, reflecting the complex feedback loops and synergetic effects characteristic of the postsingular world. A differentiation table contrasting postsingular and classical science is also presented, highlighting the most fundamental differences between contemporary classical science and future postsingular science. The model emphasizes the synergy between humans and artificial intelligence, the role of quantum technologies in accelerating scientific discovery, and the impact of social and ecological factors that either constrain or stimulate scientific progress. It is anticipated that new forms of scientific information dissemination will replace traditional academic publications and that scientific processing will reach an entirely new level of development following the singularity-driven acceleration of technological progress and the integration of AI into R&D. This will herald an era of nonstop, ultrarapid science operating 24/7. The synergy of humans and artificial intelligence will create a scientific union on the basis of fundamentally new principles and methods. This research provides an initial theoretical foundation for further interdisciplinary studies aimed at developing sustainable strategies and effectively managing scientific progress in the postsingular era.

physics.soc-ph↗

arXiv2024

Recursive introversion, iterative extroversion and transitive ambiversion

This study proposes an approach to describing personality dynamics through mathematical modelling of introversion, extroversion, and ambiversion processes. Introversion is interpreted as a recursive process characterized by deep self-awareness and inner reflection; extroversion is presented as an iterative process of accumulating and processing external stimuli; and ambiversion is considered transitivity, integrating the interaction of these two opposing processes. The developed model is based on principles of complex systems theory, nonlinear dynamics, and synergetics, enabling the perception of personality as an adaptive and multilayered system. The results include analytical equations describing the interaction of internal and external factors. Parameters regulating personality dynamics, such as sensitivity coefficients, weighting factors of stimuli, and synergy parameters, are also explored. The practical significance of the proposed model lies in its application in psychotherapy, education, personnel management, and other areas where it is necessary to consider personality traits and their dynamics. The model provides new opportunities for diagnosing, forecasting, and correcting personality changes, enhancing methods of working with individuals. The findings open some prospects for quantitative personality analysis, providing a theoretical understanding of its structure and dynamics. They also create a foundation for further interdisciplinary research in psychology, the cognitive sciences, and social systems. Specifically, the formalization considered in the context of program algorithms allows for the creation of functional procedures for AI and robots with differentiated psychological archetypes (introvert robots, extrovert robots, and ambivert robots).

physics.soc-ph↗

arXiv2024

Homeopathic Modernization and the Middle Science Trap: conceptual context of ergonomics, econometrics and logic of some national scientific case

This article analyses the structural and institutional barriers hindering the development of scientific systems in transition economies, such as Kazakhstan. The main focus is on the concept of the "middle science trap," which is characterized by steady growth in quantitative indicators (publications, grants) but a lack of qualitative advancement. Excessive bureaucracy, weak integration into the international scientific community, and ineffective science management are key factors limiting development. This paper proposes an approach of "homeopathic modernization," which focuses on minimal yet strategically significant changes aimed at reducing bureaucratic barriers and enhancing the effectiveness of the scientific ecosystem. A comparative analysis of international experience (China, India, and the European Union) is provided, demonstrating how targeted reforms in the scientific sector can lead to significant results. Social and cultural aspects, including the influence of mentality and institutional structure, are also examined, and practical recommendations for reforming the scientific system in Kazakhstan and Central Asia are offered. The conclusions of the article could be useful for developing national science modernization programs, particularly in countries with high levels of bureaucracy and conservatism.

econ.EM↗

arXiv2024

Econometrics and Formalism of Psychological Archetypes of Scientific Workers with Introverted Thinking Type

The chronological hierarchy and classification of psychological types of individuals are examined. The anomalous nature of psychological activity in individuals involved in scientific work is highlighted. Certain aspects of the introverted thinking type in scientific activities are analyzed. For the first time, psychological archetypes of scientists with pronounced introversion are postulated in the context of twelve hypotheses about the specifics of professional attributes of introverted scientific activities. A linear regression and Bayesian equation are proposed for quantitatively assessing the econometric degree of introversion in scientific employees, considering a wide range of characteristics inherent to introverts in scientific processing. Specifically, expressions for a comprehensive assessment of introversion in a linear model and the posterior probability of the econometric (scientometric) degree of introversion in a Bayesian model are formulated. The models are based on several econometric (scientometric) hypotheses regarding various aspects of professional activities of introverted scientists, such as a preference for solo publications, low social activity, narrow specialization, high research depth, and so forth. Empirical data and multiple linear regression methods can be used to calibrate the equations. The model can be applied to gain a deeper understanding of the psychological characteristics of scientific employees, which is particularly useful in ergonomics and the management of scientific teams and projects. The proposed method also provides scientists with pronounced introversion the opportunity to develop their careers, focusing on individual preferences and features.

econ.EM↗

arXiv2024

Level of Scientific Readiness with Ternary Data Types

In addition to the technology readiness level (TRL the scientific readiness level (SRL) has been introduced as a more authentic and adequate tool for determining the status quo of scientific and scientific-technical projects of fundamental or applied nature. The SRL includes 10 levels of scientific readiness, namely, the FRL (Fundamental Readiness Level), the ARL (Applied Readiness Level), and the IRL (Innovation Readiness Level). For quantitative and visual assessment of the level of scientific readiness, a system of positional ternary (three-valued, trinary) codes with integer trits (ternary digit) is introduced. The ternary code interprets the degree of project elaboration according to the fundamental, applied, and innovation vectors/trits FRL/ARL/IRL. Examples of scientific project assessments are provided. The main characteristics of the new scale and assessment of the level of readiness and the application areas of the scientific readiness level are noted. Tasks for further development of the system of scientific readiness levels are formulated.

cs.DL↗

arXiv2024

Recursive index for assessing value added of individual scientific publications

An aggregated recursive K-index is proposed as a new scientometric indicator of added value and scientific research output of individual publications. This index can be used instead of or in addition to the H-index (J.E. Hirsch. An index to quantify an individual's scientific research output, arXiv:physics/0508025). In particular, it is proposed to switch from a pure strategy for assessing the quality and effectiveness of R&D using the H-index (Hirsch index) to a mixed strategy (in the context of publication activity as a combination of cooperative and noncooperative games) using the K-index on subnational and H-index on international or differentiated levels. In the context of a hybrid strategy of the scientist's payoff functions. This transition is correct and in demand for a number of national scientific systems with limited financial, material, infrastructural and linguistic (in terms of the English language) potential. Scientific systems with highly developed indigenous (autochthonous) characteristics are also needed in some scientific areas.

econ.GN↗