World Model Research Articles

Общий искусственный интеллект, информация и сознание: об интерпретации Д.И. Дубровского

The article is devoted to the analysis of the concept of artificial general intelligence (AGI) and its interpretation proposed by the Russian philosopher David Dubrovsky in his recent research papers. The first part of the article briefly outlines the current approaches to defining the concept of “artificial general intelligence”, including interpreting it as an artificial intelligent system capable of achieving common goals in a variety of environments. Referring to the texts of the most influential foreign researchers and developers, the author demonstrates the parallels between their proposed approaches to understanding general artificial intelligence and those interpretations proposed by David Dubrovsky and his co-authors. In particular, the commonality in the interpretations of the concept of the “world model” (Yan LeCun) and the concept of “techno-umwelt” is shown, as well as parallels between the hypothesis of “universal embodied AI” (Ben Herzel) and the arguments of the Russian philosopher about the possible implementation of AI through its involvement in various types of interactions with various worlds, virtual and physical. In the second part of the article, the potential of using the information approach developed by David Dubrovsky to solve the mind-body problem as a basis for explaining the phenomenon of general artificial intelligence is outlined. It is shown that despite the need to refine the concept of information causality proposed by the philosopher, his theory can contribute to a better understanding of the connection of possible AGI competencies with the phenomena of subjective reality. In conclusion, the key problems that currently make it difficult to find an answer to the question of the dependence of the qualities of general artificial intelligence on the presence of phenomenal consciousness are outlined. The emphasis is placed on the need to continue interdisciplinary cooperation between representatives of cognitive sciences, developers and philosophers, whose interaction is designed to help solve the characteristic difficulties associated with both the problem of conceptualizing the concept of “artificial general intelligence” and the problem of identifying consciousness in artificial intelligent systems

Cautionary Tales on Heating-rate Prescriptions in Kilonovae

A major ingredient for kilonova lightcurves is the radioactive heating rate and its dependence on the electron fraction and velocity of the ejecta and, in principle, on the nuclear mass formula. Heating-rate formulae commonly used as the basis for kilonova models previously employed in the literature produce substantially different outputs for high electron fractions (Y e ≳ 0.3) and at late times (t ≳ 1 day) compared to newer prescriptions. Here, we employ standard semianalytical models for kilonovae with better heating rate prescriptions valid for the full parameter space of kilonova velocities and electron fractions to explore the impact of the heating rate on kilonova lightcurves. We show the dangers of using inappropriate heating rate estimates by simulating realistic observations and inferring the kilonova parameters via a misspecified heating-rate prescription. While providing great fits to the photometry, an incorrect heating-rate prescription fails to recover the input ejecta masses with a bias significantly larger than the typical statistical uncertainty. This bias from an incorrect prescription has significant consequences for interpreting kilonovae, their use as additional components in gamma-ray burst afterglows, and understanding their role in cosmic chemical evolution or for multimessenger constraints on the nuclear equation of state. We showcase a framework and tool to better determine the impact of different modeling assumptions and uncertainties on inferences into kilonova properties.

Pop-cosmos: A Comprehensive Picture of the Galaxy Population from COSMOS Data

We present pop-cosmos: a comprehensive model characterizing the galaxy population, calibrated to 140,938 (r < 25 selected) galaxies from the Cosmic Evolution Survey (COSMOS) with photometry in 26 bands from the ultraviolet to the infrared. We construct a detailed forward model for the COSMOS data, comprising: a population model describing the joint distribution of galaxy characteristics and its evolution (parameterized by a flexible score-based diffusion model); a state-of-the-art stellar population synthesis model connecting galaxies’ intrinsic properties to their photometry; and a data model for the observation, calibration, and selection processes. By minimizing the optimal transport distance between synthetic and real data, we are able to jointly fit the population and data models, leading to robustly calibrated population-level inferences that account for parameter degeneracies, photometric noise and calibration, and selection. We present a number of key predictions from our model of interest for cosmology and galaxy evolution, including the mass function and redshift distribution; the mass–metallicity-redshift and fundamental metallicity relations; the star-forming sequence; the relation between dust attenuation and stellar mass, star formation rate, and attenuation-law index; and the relation between gas-ionization and star formation. Our model encodes a comprehensive picture of galaxy evolution that faithfully predicts galaxy colors across a broad redshift (z < 4) and wavelength range.

The Construction of “Mental Models”: Its Essence and Use in Various Fields of Psychology

Introduction. Mental models are a scientific psychological construct, which means that people create models of the external world in their minds and operate them to plan their activities. Today, mental models have found application in various fields: explaining the principles of human thinking and solving logical problems, creating models about time, sets, causes and effects, as well as in the field of learning, social relations, teamwork. However, in Russian, the subject of the study of mental models is practically not presented.Purpose. To examine works devoted to the study of mental models in various fields of psychology.Mental models in the field of thinking process research. A leading expert in the field of human thinking mechanisms P. N. Johnson-Laird put forward and substantiated idea, that in the process of reasoning, people actively create mental models that accompany logical operations and can influence them. Mental models are iconic, reflecting the meaning of objects of the external world, are deployed in a sequence corresponding to external events, and reflect external operations schematically.Mental models in learning. Mental models can be useful tools for constructing the educational process. Understanding and competent use of the natural mechanisms of the psyche of students can improve the process of modeling their knowledge of the world around them.Mental models in socio-psychological processes. The interaction of an individual with other people generates the process of forming their reflections in the internal space, creating models of behavior and possible reactions of others. In team interaction, an important factor in the effectiveness and viability of the team is the presence of common (team) mental models.Discussion. The use of the concept of mental models in various fields and a large number of conceptual and empirical works on this topic may indicate the universality of the phenomenon of models. Mental models as an explanatory principle are built into existing theories and enrich them.

The consequence of higher-order curvature-based constraints on [formula omitted] gravity

In this investigation, we perform an observational statistical analysis in the theory of f(R,Lm) gravity. The proposed theoretical model is based on the Ricci scalar’s non-linear contribution. We use a distinct parametrization for the deceleration parameter and constrain the model parameters by using various observational data. To determine the best-fit model for the cosmological parameters, we use different observational datasets such as the Hubble Space Telescope, the Pantheon Supernova Survey, the Gold dataset, the Gamma-Ray Burst (GRB), and the Baryon Acoustic Oscillations (BAO). Furthermore, we study the late-time cosmic evolution of the Universe in detail and examine the implications of the constraint values on cosmological parameters. Additionally, we conduct a thorough comparison with the standard cosmological model ΛCDM and other standard models obtained by Odintsov et al. (2024); Odintsov et al. (2023) to examine the validity of our proposed model in the low-redshift regimes. Finally, we find that the proposed model encapsulates an intriguing transition from early deceleration at high redshift to acceleration at low redshift, a quintessence dark energy scenario, and convergence towards the well-established ΛCDM model in late-time Universe’s evolution.

ANALYSIS OF THE “EAST” IMAGE IN THE WORKS OF THE BEIJING SPIRITUAL MISSION LEADERS OF THE XVIII - EARLY XX CENTURIES

The purpose of the study. The article is devoted to the problem of forming ideas about the East in the representative writings of the Beijing Spiritual Mission. Special attention is paid to the ideas contributed to the formation of the socio-cultural construct “East”, which is important for the formation of the Russian state identity today, in the context of the formation of a multipolar world model. Conclusions. As a result of the research, we traced the evolution of the East images as “alien” and “other” in the intercultural interaction context through the activities of the Russian Ecclesiastical Mission in Beijing, which created the foundations for an effective intercultural dialogue of the period previously considered.

Dimensional Analysis in General Theory of Relativity

Use of natural unit is utmost important for research in high energy physics, particularly in the fields of ‘Elementary Particle Physics’, ‘Astro-particle Physics’ and `Physical Cosmology', because all the parameters turn out to be dimensionless. However, it is suggestive to work in a system of units, in which all the kinematical parameters may be expressed in terms of different powers of the Planck's mass or equivalently the energy. Here we explicitly exhibit the use of the natural units, some associated problems and also the proposed system of units in connection with their application in ‘General Theory of Relativity

Physiological properties of auditory neurons responding to omission deviants in the anesthetized rat

SummaryThe detection of novel, low probability events in the environment is critical for survival. To perform this vital task, our brain is continuously building and updating a model of the outside world; an extensively studied phenomenon commonly referred to as predictive coding. Predictive coding posits that the brain is continuously extracting regularities from the environment to generate predictions. These predictions are then used to supress neuronal responses to redundant information, filtering those inputs, which then automatically enhances the remaining, unexpected inputs.We have recently described the ability of auditory neurons to generate predictions about expected sensory inputs by detecting their absence in an oddball paradigm using omitted tones as deviants. Here, we studied the responses of individual neurons to omitted tones by presenting individual sequences of repetitive pure tones, using both random and periodic omissions, presented at both fast and slow rates in the inferior colliculus and auditory cortex neurons of anesthetized rats. Our goal was to determine whether feature-specific dependence of these predictions exists. Results showed that omitted tones could be detected at both high (8 Hz) and slow repetition rates (2 Hz), with detection being more robust at the non-lemniscal auditory pathway.

Evidence for a Shallow Evolution in the Volume Densities of Massive Galaxies at z = 4–8 from CEERS

We analyze the evolution of massive (log10[M ⋆/M ⊙] > 10) galaxies at z ∼ 4–8 selected from JWST Cosmic Evolution Early Release Survey (CEERS). We infer the physical properties of all galaxies in the CEERS NIRCam imaging through spectral energy distribution (SED) fitting with dense basis to select a sample of high-redshift massive galaxies. Where available we include constraints from additional CEERS observing modes, including 18 sources with MIRI photometric coverage, and 28 sources with spectroscopic confirmations from NIRSpec or NIRCam WFSS. We sample the recovered posteriors in stellar mass from SED fitting to infer the volume densities of massive galaxies across cosmic time, taking into consideration the potential for sample contamination by active galactic nuclei. We find that the evolving abundance of massive galaxies tracks expectations based on a constant baryon conversion efficiency in dark matter halos for z ∼ 4–8. At higher redshifts, we observe an excess abundance of massive galaxies relative to this simple model, resulting in a shallower decline of observed volume densities of massive galaxies. These higher abundances can be explained by modest changes to star formation physics and/or the efficiencies with which star formation occurs in massive dark matter halos, and are not in tension with modern cosmology.

Artistic World Model as a Subject of Scientific Research

Artistic World Model as a Subject of Scientific Research

Comprehensive study of bouncing cosmological models in f(Q, T) theory

The main objective of this article is to investigate the viability of bouncing cosmological scenarios using different forms of scale factors with perfect matter configuration in the framework of extended symmetric teleparallel theory. This modified proposal is defined by the function f(Q, T), where Q characterizes non-metricity and T denotes the trace of energy-momentum tensor. We investigate the modified field equations of this theory using different parametric values of the Hubble parameter and non-metricity to derive viable solutions. These solutions are relevant in various cosmological bounce models such as symmetric-bounce, super-bounce, oscillatory-bounce, matter-bounce and exponential-bounce models. Furthermore, we examine the behavior of energy density and pressure to analyze the characteristics of dark energy. A comprehensive analysis is also conducted to explore the behavior of the equation of state parameter and deceleration parameter to examine the evolutionary eras of the cosmos. Our findings show that the f(Q, T) gravity describes the cosmic expansion in the vicinity of the bouncing point during the early and late times of cosmic evolution.

Explainable and generalizable AI-driven multiscale informatics for dynamic system modelling

Ultra-precision machining requires system modelling that both satisfies explainability and conforms to data fidelity. Existing modelling approaches, whether based on data-driven methods in present artificial intelligence (AI) or on first-principle knowledge, fall short of these qualities in high-demanding industrial applications. Therefore, this paper develops an explainable and generalizable ‘grey-box’ AI informatics method for real-world dynamic system modelling. Such a grey-box model serves as a multiscale ‘world model’ by integrating the first principles of the system in a white-box architecture with data-fitting black boxes for varying hyperparameters of the white box. The physical principles serve as an explainable global meta-structure of the real-world system driven by physical knowledge, while the black boxes enhance local fitting accuracy driven by training data. The grey-box model thus encapsulates implicit variables and relationships that a standalone white-box model or black-box model fails to capture. Case study on an industrial cleanroom high-precision temperature regulation system verifies that the grey-box method outperforms existing modelling methods and is suitable for varying operating conditions.

Understanding world models through multi-step pruning policy via reinforcement learning

In model-based reinforcement learning, the conventional approach to addressing world model bias is to use gradient optimization methods. However, using a singular policy from gradient optimization methods in response to a world model bias inevitably results in an inherently biased policy. This is because of constraints on the imperfect and dynamic data of state-action pairs. The gap between the world model and the real environment can never be completely eliminated. This article introduces a novel approach that explores a variety of policies instead of focusing on either world model bias or singular policy bias. Specifically, we introduce the Multi-Step Pruning Policy (MSPP), which aims to reduce redundant actions and compress the action and state spaces. This approach encourages a different perspective within the same world model. To achieve this, we use multiple pruning policies in parallel and integrate their outputs using the cross-entropy method. Additionally, we provide a convergence analysis of the pruning policy theory in tabular form and an updated parameter theoretical framework. In the experimental section, the newly proposed MSPP method demonstrates a comprehensive understanding of the world model and outperforms existing state-of-the-art model-based reinforcement learning baseline techniques.

The robustness in identifying and quantifying high-redshift bars using JWST observations

Understanding the methodological reliability in identifying and quantifying high-redshift bars is essential for studying their evolution with the James Webb Space Telescope (JWST). We used nearby spiral galaxies to generate simulated images at various resolutions and signal-to-noise ratios, and obtained the simulated galaxy images observed in the Cosmic Evolution Early Release Science (CEERS) survey. Through a comparison of measurements before and after image degradation, we show that the bar measurements for massive galaxies remain robust against noise. While the measurement of the bar position angle remains unaffected by resolution, the measured bar ellipticity is significantly underestimated in low-resolution images. The size measurement is barely affected on average as long as the intrinsic bar size abar, true &gt; 2 × FWHM. To address these effects, correction functions are derived. We also find that bar detections remain effective at ∼100% when the abar, true/FWHM is above 2, below which the rate drops sharply, quantitatively validating the effectiveness of using abar, true &gt; 2 × FWHM as a bar detection threshold. We analyzed a set of simulated CEERS images and took into account observational effects and plausible galaxy (and bar-size) evolution models. We show that a significant (and misleading) reduction in the detected bar fraction with increasing redshift would apparently result even if the true bar fraction remained constant. Our results underscore the importance of disentangling the true bar fraction evolution from resolution effects and bar size growth.

The expansion behavior of the hyperbolic solution in f(R,G) gravity

In this study, our primary focus lies in meticulously exploring the intricacies of the universe by employing a flat Friedmann–Lemaître–Robertson–Walker (FLRW) model within the framework of [Formula: see text] gravity. In our analysis, the [Formula: see text] function is delineated as the sum of two distinct components, commencing with a quadratic correction of the geometric term denoted by [Formula: see text], structured as [Formula: see text], alongside a matter term denoted by [Formula: see text], where [Formula: see text] and [Formula: see text] symbolize the Ricci scalar and Gauss–Bonnet invariant, respectively. In the pursuit of solutions to the gravitational field equations within the [Formula: see text] formalism, we embrace a specific expression for the scale factor, represented as [Formula: see text] [D. Rabha and R. R. Baruah, The dynamics of a hyperbolic solution in [Formula: see text] gravity, Astron. Comput. 45 (2023) 100761]. In this context, the parameters [Formula: see text] and [Formula: see text] intricately shape the scale factor’s behavior. The model posits the intriguing prospect of perpetual cosmic acceleration when [Formula: see text], signifying a continuous expansion of the universe. Conversely, for [Formula: see text], the model proposes a pivotal transition from an early deceleration phase to the present accelerated epoch, a transformative shift in line with our understanding of cosmic evolution. Furthermore, the model demonstrates its credibility by satisfying Jean’s instability condition during the shift from a radiation-dominated era to a matter-dominated era, substantiating the formation of cosmic structures. In our analysis, a central focus is directed toward scrutinizing the equation of state parameter [Formula: see text] within our model. We delve into a comprehensive examination of the scalar field and meticulously assess the energy conditions surrounding the derived solution. To establish the robustness of our model, we deploy an array of diagnostic tools, including the Jerk, Snap, and Lerk parameters, along with the Om diagnostic, Classical stability of the model, and statefinder diagnostic tools, Observational Constraints on the Model Parameters. The outcomes, intertwined with a detailed analysis of both the results and the inherent intricacies of the model, are diligently clarified and presented.

Fundamentals of the flatness problem

The Flatness Problem is a fine-tuning problem (defined as when a physical constant appears to fall within an arbitrarily precise range such that the current status of the Universe was able to be developed) in physical cosmology, related to the density of matter and energy in the universe. In this paper, I provide an overview of the problem, describing the problems history, beginning with its foundations by Albert Einstein and Alexander Friedmann in General Relativity and the discoveries of Edwin Hubble and Georges Lemaitre regarding the nature and expansion of the Universe. I also present the mathematical basis of the energy density of the Universe by completing a simple derivation from the first Friedmann Equation, before analyzing observational data regarding the apparent density of the Universe. This data comes from the Cosmic Microwave Background and distant Type 1a supernovae. Finally, I explore the possible solutions to the Flatness Problem, including Anthropism and Inflation, and recount each ones strengths and weaknesses.

Rényi Holographic Dark Energy

AbstractIn this work, the holographic dark energy model is constructed by using the non‐extensive nature of the Schwarzschild black hole via the Rényi entropy. Due to the non‐extensivity, the black hole can be stable under the process of fixing the non‐extensive parameter. A change undergoing such a process would then motivate us to define the energy density of the Rényi holographic dark energy (RHDE). As a result, the RHDE with choosing the characteristic length scale as the Hubble radius provides the late‐time expansion without the issue of causality. Remarkably, the proposed dark energy model contains the non‐extensive length scale parameter additional to the standard model. The cosmic evolution can be characterized by comparing the size of the Universe to this length scale. Moreover, the preferable value of the non‐extensive length scale is determined by fitting the model to recent observations. The results of this work would shed light on the interplay between the thermodynamic description of the black hole with non‐extensivity and the classical gravity description of the evolution of the Universe.

Interdependent Leadership: Proposing a Leadership Model in a Complex World

The hypermodern environment in which today’s organizations and society exist presents a need for the development and application of effective transformational leadership practices. As such, this article presents an interdependent leadership model and its six core tenets, which may guide organizational behavior and change in turbulent times. We argue that this emerging leadership model is appropriate in responding to the complexity of the contemporary organizational landscape and propelling the sustainable growth and advancement of all stakeholders in a larger ecosystem.

Generalized ghost pilgrim dark energy model in Non-Riemannian geometry

In this paper, we analyze cosmic evolution and current expansion using the generalized ghost pilgrim dark energy model for the flat Friedmann-Robertson-Walker universe in f(Q) gravity, where Q represents the non-metricity. For this objective, we examine interacting forms of dark energy model and reconstruct f(Q) gravity in terms of red-shift parameter. We establish various standard cosmological parameters including the equation of state parameter, the squared speed of sound, ωD−ωD′ and r − s-planes to examine the impact of this dark energy model. The analysis reveals that all the reconstructed models exhibit an increasing or decreasing trend in the pilgrim dark energy parameter. The equation of state parameter depicts the phantom era, while the squared speed of sound reveals a stable generalized ghost pilgrim dark energy model for the entire cosmic evolutionary paradigm. Finally, we study the cosmography of the ωD−ωD′ and r − s planes that correspond to the freezing region and Chaplygin gas model, respectively. We conclude that all the outcomes are consistent with the pilgrim dark energy phenomenon.

Model-independent parameterization of H(z) and its implications for cosmic evolution

We investigate the model-independent parameterization of H(z) in spatially homogeneous and isotropic FLRW space-time using Cosmic Chronometers (31 data points) and Pantheon+SH0ES (1701 points) datasets. The best-fit values for the model parameters (H0,A1,A2,A3) are obtained through MCMC analysis. Our results show that the EoS parameter ω transitions from a matter-dominated era through quintessence to ω=−1, indicating convergence to ΛCDM at late times. The current ω values suggest an accelerating universe. Moreover, the model's squared sound speed vs2 evolves from negative to positive, indicating increasing stability. The deceleration parameter q shows a smooth transition from deceleration to acceleration, with transition redshift zt between 0.5 and 0.8. Further, the energy conditions are satisfied, and SEC violation at z=0 supports current acceleration. The ω−ω′ plane lies in the freezing region, and the r−s plane approaches the ΛCDM limit at late times.