Knowledge Of Principles Research Articles

Kant’s Reliance on Reason Rejects the Essence of Sympathy and Empathy in Any Moral Choice

Kant is noted to have pioneered the deontological position when he argued in defence of reason and duty in moral decision-making. Kant’s use of reason in moral decision-making has made him an ethical rationalist. As moral agents, our theories must be based on rational cognition. This can be said to have dominated Western philosophy since the time of Plato. During Plato’s time, the tradition believed that one must know the object and possess the cognitive principles of practical reason. This must be exercised by the will or rational capacity guided by the categorical imperative. It is only when this is accomplished that it can be said that an action is morally worthy or morally permissible. This paper argues that Kant’s reliance on reason rejects the essence of sympathy and empathy in any moral decision-making endeavour. To act justly there is the need to employ reason so that such action could be attractive as well.

The Design and Formalization of an Embodied Soundscape Sonification Framework

This paper explores the design, evaluation, and formalisation of a framework for the creation of soundscape sonifications: data-to-sound mappings which make use of sounds recorded from real-world sources to communicate information to a listener. This approach is informed by design principles from the field of embodied cognitive science. It opens with a consideration of the relationship between soundscapes, sonification, and embodied cognition design principles. Four approaches to soundscape sonification are presented and evaluated. Evaluation results are presented and analysed before the paper closes with a discussion of the findings and a formalisation of the most effective candidate framework. The article shows how embodied cognition principles can be applied to the design of communicatively effective soundscape sonifications with the takeaway point for researchers being the formalisation of an “Embodied Soundscape Sonification Framework” as a guide to the design of effective soundscape sonifications.

A data-driven analysis of the perceptual and neural responses to natural objects reveals organising principles of human visual cognition.

A key challenge in understanding the functional organisation of visual cortex stems from the fact that only a small proportion of the objects experienced during natural viewing can be presented in a typical experiment. This constraint often leads to experimental designs that compare responses to objects from experimenter-defined stimulus conditions, potentially limiting the interpretation of the data. To overcome this issue, we used images from the THINGS initiative, which provides a systematic sampling of natural objects. A data-driven analysis was then applied to reveal the functional organisation of the visual brain, incorporating both perceptual and neural responses to these objects. Perceptual properties of the objects were taken from an analysis of similarity judgements, and neural properties were taken from whole brain fMRI responses to the same objects. Partial least squares regression (PLSR) was then used to predict neural responses across the brain from the perceptual properties while simultaneously applying dimensionality reduction. The PLSR model accurately predicted neural responses across visual cortex using only a small number of components. These components revealed smooth, graded neural topographies, which were similar in both hemispheres, and captured a variety of object properties including animacy, real-world size, and object category. However, they did not accord in any simple way with previous theoretical perspectives on object perception. Instead, our findings suggest that visual cortex encodes information in a statistically efficient manner, reflecting natural variability among objects.Significance statement The ability to recognise objects is fundamental to how we interact with our environment, yet the organising principles underlying neural representations of visual objects remain contentious. In this study, we sought to address this question by analysing perceptual and neural responses to a large, unbiased sample of objects. Using a data-driven approach, we leveraged perceptual properties of objects to predict neural responses using a small number of components. This model predicted neural responses with a high degree of accuracy across visual cortex. The components did not directly align with previous explanations of object perception. Instead, our findings suggest the organisation of the visual brain is based on the statistical properties of objects in the natural world.

Integrating approaches to the role of metaphor in the evolutionary dynamics of language

Abstract Metaphor occupies a central role not only in language use, but also in language change and evolution. Specifically, semantic extension motivated by metaphor plays an important role in extending the lexicon of languages. It is this process that enables the emergence of one of the key properties of modern languages, namely that they are open-ended, systematic, polysemous, structured semiotic systems. Here, we review results from three approaches whose integration presents an important cornerstone for an interdisciplinary account of the role of metaphor in the evolutionary dynamics of language: (1) Historical linguistics and diachronic semantics (2) Computational approaches and natural language processing, and (3) Experimental semiotics. Research in historical linguistics has shown that metaphor is a major mechanism of semantic change. Diachronic semantic analyses have not only mapped detailed historical trajectories of semantic extension motivated by metaphor, but also identified common metaphoric pathways of change as well as shared cognitive principles underlying them. Computational approaches and natural language processing have used findings and data from historical linguistics in attempts to automate the detection of metaphoric semantic change and to build data-driven models models of the principles underlying it. Experimental semiotics is a paradigm in which participants have to create novel communication systems in the absence of language. It represents an experimental design that can investigate cultural linguistic evolution and the emergence of metaphors and metaphorical extensions under controlled laboratory settings to shed light on the interactional and cognitive principles involved in it. Combining results from these approaches represents an important first step towards an interdisciplinary, integrative account of the role of metaphor, and processes of polysemous meaning extension more generally, in the evolutionary dynamics of language.

Partial colexifications reveal directional tendencies in object naming

Abstract Expressions in which the word for a body part is also used for objects can be found in many languages. Some languages use body part terms to refer to object parts, while others have only a few idiosyncratic examples in their vocabulary. Studying the word forms referring to body and object concepts, i.e., colexifications, across languages, offers insights into cognitive principles facilitating such usage. Previous studies focused on full colexifications in which the same word form expresses two distinct concepts. Here, we utilize a new approach that allows us to analyze partial colexifications in which a concept is built out of the word forms for two separate concepts, like river mouth. Based on a large lexical database, we identified body and object concepts and analyzed 39 colexifications across 329 languages. The results show that word forms for body concepts are used slightly more frequently as a source for object names. However, the detailed examination of directional tendencies and colexifications of word forms between body and object concepts reveals linguistic variation. The study sheds light on meaning extensions between two concrete domains and showcases the synergies that arise through the combination of existing data and methods.

OPPORTUNITIES FOR FORMING THE WORLDVIEW OF PRIMARY STUDENTS

The National Encyclopedia of Uzbekistan defines the concept of worldview as follows: “worldview is a system of general views on the world and on the place of man in it, on the attitude of people to reality and self around themselves, as well as on the beliefs, ideals, principles of cognition and activity of people based on these views”[6]. The worldview is only a characteristic of a person, and for the animal world, something else, objects and creatures, this is the case.

Usage-based Grammar Induction from Minimal Cognitive Principles

Abstract This study explores the cognitive mechanisms underlying human language acquisition through grammar induction by a minimal cognitive architecture, with a short and flexible sequence memory as its most central feature. We use reinforcement learning for the task of identifying sentences in a stream of words from artificial languages. Results demonstrate the model’s ability to identify frequent and informative multi-word chunks, reproducing characteristics of natural language acquisition. The model successfully navigates varying degrees of linguistic complexity, exposing efficient adaptation to combinatorial challenges through the reuse of sequential patterns. The emergence of parsimonious tree structures suggests an optimization for the sentence identification task, balancing economy and information. The cognitive architecture reflects aspects of human memory systems and decision-making processes, enhancing its cognitive plausibility. While the model exhibits limitations in generalization and semantic representation, its minimalist nature offers insights into some fundamental mechanisms of language learning. Our study demonstrates the power of this simple architecture and stresses the importance of sequence memory in language learning. Since other animals do not seem to have faithful sequence memory, this may be a key to understanding why only humans have developed complex languages.

The problem of knowing future phenomena

The paper is devoted to the problem of epistemic conditions of cognition of future phenomena.The problem is that the cognizable aspects of information are based on the evolutionary mechanisms of adaptation of the body, which are reduced in humans, and on the rational principles of human cognition, which are mixed with irrational prophecies. The solution is to separate the heuristic possibilities of theory from empirical guesses and consider the structures of theoretical knowledge that process information about possible and impossible facts.The aim of the paper is to discover a mental act directed at the future, which cannot be reduced to extrapolating the past and varying alternatives. The conditions of the possibility of knowing about the reality of the future as a mode of time, and the idea of a specific event in the future are split.The following hypothesis is considered: cognition of the future is based on thinking about the possible and necessary relations of an object to an integral system including a subject.The attitude of the mind towards the future is not a cognitive act like receiving information, the source of which is problematic. This is not animal foresight, not divination, not planning. Cognition is understood not as a perception of the objective properties of a phenomenon, but as its construction according to the rules of the organization of consciousness. In general, the future is not knowable, but there are types of phenomena other than the causal concept of cognition that justify information about the future. Theoretical knowledge of the predispositions of a situation involving an object is proactive. The subject of prediction is not only the truth about the future, but also a judgment about what exactly will not happen. This limitation narrows the scope of possible alternatives. The elementary acts of realizing that an event is not yet happening have been investigated by the phenomenology of Buddhism. They are directed at the stages of the same process. The conclusion from content of one temporal interval to content of another interval is based on theoretical constructions that do not have spatiotemporal characteristics. Information about the future is limited by theoretical knowledge of the holistic situation and the properties of the object that arise as a result of its inclusion in this situation.

Tools for promoting information security in the media space

The article analyzes the main tools for detecting disinformation, in particular, special applications, artificial intelligence technologies for checking content, which are used by popular social networks, such as Facebook, Instagram, etc. The capabilities of artificial intelligence systems used in Ukraine to monitor the media space and analyze a large volume of online publications are highlighted. The most important elements in combating disinformation are identified, in particular programs and projects related to the development of media literacy, the involvement of social media platforms, international cooperation, etc. Attention was drawn to the programs of the international non-profit organization IREX. The main technologies and approaches for countering disinformation and destructive propaganda are analyzed. Particular attention is paid to strengthening resistance to russian disinformation during the war and countering it in the future. The work uses a synergistic approach, which will enable the analysis of state policy directions and measures of civil society to counter disinformation and hostile propaganda. The scientific nature of the research is provided by a system of cognitive principles generally recognized in modern science, in particular, the principle of complexity and objectivity.

On the importance and methodological aspects of historiographical research of political and legal doctrines

The article examines the issues of the development of historiographical studies of political and legal doctrines from the point of view of clarifying the role and significance of the relevant results in modern legal science, as well as the problems of improving the methodological foundations of the formation of the Russian historiographical model of political and legal knowledge. The study shows that the lack of developed and consistent models of historiography of political and legal doctrines in foreign and domestic legal literature is associated with certain interpretations of historical knowledge and cognitive principles, the rejection of historicism in the social sciences, which was established and spread especially in the twentieth century in Western European literature, the undeveloped types of development of national literatures covering the issues of origin and development of political and legal knowledge. In terms of improving approaches to historiographical research of political and legal knowledge, the possibilities of a deeper study of the influence of socio-religious consciousness, genre features, plots and means of expression, linguistic characteristics of the works of scientists and other studied texts are indicated. In the methodological direction, an important role can be played by referring to the constructs formed in the Russian philosophical literature, in particular the works of P. A. Florensky.

Debiasing Judgements Using a Distributed Cognition Approach: A Scoping Review of Technological Strategies.

To review and synthesise research on technological debiasing strategies across domains, present a novel distributed cognition-based classification system, and discuss theoretical implications for the field. Distributed cognition theory is valuable for understanding and mitigating cognitive biases in high-stakes settings where sensemaking and problem-solving are contingent upon information representations and flows in the decision environment. Shifting the focus of debiasing from individuals to systems, technological debiasing strategies involve designing system components to minimise the negative impacts of cognitive bias on performance. To integrate these strategies into real-world practices effectively, it is imperative to clarify the current state of evidence and types of strategies utilised. We conducted systematic searches across six databases. Following screening and data charting, identified strategies were classified into (i) group composition and structure, (ii) information design and (iii) procedural debiasing, based on distributed cognition principles, and cognitive biases, classified into eight categories. Eighty articles met the inclusion criteria, addressing 100 debiasing investigations and 91 cognitive biases. A majority (80%) of the identified debiasing strategies were reportedly effective, whereas fourteen were ineffective and six were partially effective. Information design strategies were studied most, followed by procedural debiasing, and group structure and composition. Gaps and directions for future work are discussed. Through the lens of distributed cognition theory, technological debiasing represents a reconceptualisation of cognitive bias mitigation, showing promise for real-world application. The study results and debiasing classification presented can inform the design of high-stakes work systems to support cognition and minimise judgement errors.

To know or not to know? Curiosity and the value of prospective information in animals.

Humans and other animals often seek instrumental information to strategically improve their decisions in the present. Our curiosity also leads us to acquire non-instrumental information that is not immediately useful but can be encoded in memory and stored for use in the future by means of episodic recall. Despite its adaptive benefits and central role in human cognition, questions remain about the cognitive mechanisms and evolutionary origins that underpin curiosity. Here, we comparatively review recent empirical studies that some authors have suggested reflects curiosity in nonhuman animals. We focus on findings from laboratory tasks in which individuals can choose to gain advanced information about uncertain future outcomes, even though the information cannot be used to increase future rewards and is often costly. We explore the prevalence of preferences in these tasks across animals, discuss the theoretical advances that they have promoted, and outline some limitations in contemporary research. We also discuss several features of human curiosity that can guide future empirical research aimed at characterising and understanding curiosity in animals. Though the prevalence of curiosity in animals is actively debated, we surmise that investigating behavioural candidates for curiosity-motivated behaviour in a broader range of species and contexts, should help promote theoretical advances in our understanding of cognitive principles and evolutionary pressures that support curiosity-driven behaviour.

Research and Analysis in the Cognitive Principles of Vocational Education and Training in Greece at the Beginning of the 21st Century

Research and Analysis in the Cognitive Principles of Vocational Education and Training in Greece at the Beginning of the 21st Century

The “Cognitive” Architectural Design Process and Its Problem with Recent Artificial Intelligence Applications

The connection between cognitive science and the architectural design process reveals significant gaps that limit the full potential of creating effective built environments. A key issue is the insufficient integration of cognitive principles into design workflows. Architects frequently rely on traditional methods and aesthetic considerations without fully understanding how spatial configurations influence human cognition and behavior. While recent AI applications in architecture, such as Computer-Aided Drafting (CAD), Building Information Modeling (BIM), and interactive web and VR presentations, show promising advancements, AI still struggles with complex architectural functions. AI lacks the creativity and imagination inherent in human cognition. It operates based on fixed programming, producing specific outcomes and requiring human oversight to apply insights from one dataset to another. The primary challenge in using AI for architectural design is ensuring minimal design flaws, as replicating human cognitive abilities with AI and various machine learning techniques remains difficult. This research paper aims to explore the relationship between cognitive science, artificial intelligence, and the architectural design process through four main objectives: First, to investigate the integration of AI with current architectural software applications. Second, to examine potential connections between AI and major architectural design trends. Third, to define two frameworks for the Cognitive Architectural Design Process to guide the development of AI systems in architectural design by analyzing key cognitive design theories. Finally, to create a proposed "Architectural Design Process-Cognitive Pilot Map" from an architectural perspective to aid AI programmers in developing architecture design software applications.

The Effectiveness of Cognitive Behavioral Therapy versus Notched Sound Therapy in Adults with Chronic Subjective Tinnitus and Normal Hearing.

Introduction Tinnitus can be distressing, and it affects the quality of life (QoL) through psychological and cognitive impairments. Cognitive behavioral therapy (CBT) and notched sound therapy (NST) are tinnitus management approaches aiming to reduce symptoms and improve QoL via two different mechanisms. The CBT attains the cognitive principle, whereas the NST initiates tinnitus habituation. Objective To evaluate the effect of CBT and NST and compare their results in the management of chronic subjective tinnitus. Methods The present prospective study involved 64 adults with normal hearing and chronic subjective tinnitus. They were subjected to history taking, basic audiological evaluation, and extended high-frequency audiometry at 10 and 12.5 kHz. The participants were divided into two equal groups, the first treated with CBT and the second treated with NST. The psychoacoustic measures of tinnitus and the Arabic Questionnaire for Tinnitus Reaction (Arabic-QTR) were used to monitor the outcomes of both therapies. Results Both groups showed significant reduction in tinnitus severity according to the Arabic-QTR and tinnitus loudness matching. Improvement in the Arabic-QTR was better in the CBT group, while tinnitus loudness improvement was better in the NST group. Conclusion Both CBT and NST are effective in the management of chronic subjective tinnitus. In a comparison of the effect of the two therapies, CBT was found to be more effective in decreasing tinnitus-related distress, whereas SNT was found to be more helpful in reducing tinnitus loudness.

B - 122 A Preliminary Analysis of the Neuropsychological Evaluation of the UPSA (NEUPSA)

Abstract Objective The UCSD Performance Skills Assessment (UPSA) is a well-established performance instrument created to evaluate functional outcomes. We applied a neuropsychological framework to the UPSA and created the Neuropsychological Evaluation of the UPSA (NEUPSA), assessing the cognitive processes that underlie the functional tasks in the UPSA. The study aimed to compare the executive function and attention components of the NEUPSA with a validated computerized cognitive assessment. Methods Participants were 86 adults drawn from the San Diego community. Participants completed the UPSA, 5 Choice CPT (5CCPT) which evaluates attention by calculating a d-prime score that assesses sustained attention, and the Iowa Gambling Task (IGT) which assesses risky decision making. We employed a Spearman’s correlation analysis with a 95% confidence interval to assess the strength of the relationship between NEUPSA attention scores and 5CCPT and IGT performance. Results NEUPSA subscores were significantly correlated with performance on computerized cognitive assessments. 5CCPT scores were positively correlated with NEUPSA attention scores (r = 0.24, p = 0.03). IGT scores were positively correlated with NEUPSA executive functioning scores (r = 0.23, p = 0.04). Conclusion These findings provide preliminary evidence that the NEUPSA assesses aspects of attention (i.e., sustained attention) and executive function (i.e., risky decision making). Further research, however, needs to be conducted on the validity of this measure and the utility in assessing neuropsychological function in clinical populations. Next steps include assessing NEUPSA performance in various non-healthy comparison populations. In this study, we emphasize the fundamental cognitive principles necessary for performance, offering a promising avenue for comprehending impaired functioning.

Scope of Yoga Education in Promoting ‘21st Century Skills’ of the Digital Natives: An Overview

The pattern of social life of the adolescent has completely altered with the onslaught of digital media; truly they are digital natives nurtured in a unique period of an unprecedented influx of technology. Teens are usually have inadequate ability for self-regulation and are fragile and vulnerable to peer pressure and indulgence to any kind of adventure and experimentations with social media may be lethal for them. Adolescents exposed heavily in digital world are less competent in formal socialization as evident by latest research. In this era of digitalization, Social and Emotional Learning (SEL) is a dragging attention of educationist to mitigate negative impact of such digital dumping and to inculcate core social and emotional competencies. An ancient scientific way of life practiced in India which is combinations of practice of specific postures, breathing regulation, and meditation is yoga, which have been shown its efficacy in improving in cognitive performance in executive function and also in socio emotional adjustment. Broadly Desk Review Method has been adopted. Collection & analysis of the data collected by other researchers and as published in the journal of Repute has been considered. In the context of school education, the curriculum agreed to accommodate yoga as it could contribute to the physical, social, emotional and mental development of a child (NCF, 2005). The theoretical idea of Yoga are organized from experiences. Therefore, the need of the time is to device a frame work which can relate the theoretical construct of Yoga with learning objectives of ‘21st Century skills’ also referred to as ‘Transversal competencies’. This overview the scope of yoga education in the current approaches of the social cognitive principle of “Transversal competencies” in reference to digital generation.

Превратить психологию «в науку о живом человеке...»: О психотехническом характере исследований школы А.Н. Леонтьева 1940-х гг.

<p>This paper analyzes select 1940s works of A.N. Leontiev’s school of psychological thought in light of the methodological principles of psychotechnical cognition which F.Ye. Vasilyuk formulated on the basis of L.S. Vygotsky’s ideas about practice as a constructive principle of psychological science. The paper refutes the assertion that Soviet-era cultural and activity psychology had no psychological practice in its own right, and demonstrates that such practice did really exist, had a distinctly activity-oriented nature, and contributed to the advancement of the activity theory. It was the practice of movement recovery which the team of psychologists, put together by A.N. Leontiev, practiced at the military hospital in Kourovka, fusing “psychotherapy”, research, and education into an inseparable whole. We observe that unity in Z.M. Istomina’s 1948 research, discussed in this paper in light of the eight general principles of psychotechnical cognition identified by F.Ye. Vasilyuk. Revisiting the Leontiev school’s heritage is relevant in the context of the ongoing conceptual revolution in psychology, for many methodological principles and provisions of activity psychology were ahead of their time.</p>

Kombucha–Chlorella–Proteinoid Biosynthetic Classifiers of Audio Signals

ABSTRACTThis paper describes the development of a bioinspired composite material capable of audio classification applications. Hydrogel matrices produced by microorganisms combined with synthetic biology elements, allow for the development of adaptable bioelectronics that connect biology and technology in a customized way. In this study, a composite population of kombucha, chlorella, and proteinoids (thermal proteins) is utilized to respond to acoustic signals converted to electrical waveforms. The kombucha zoogleal mats, which are made and populated by over 60 species of yeasts and bacteria, offer a matrix at the micro level that is connected to the photosynthetic microalgae chlorella. Proteinoids formed through thermal condensation exhibit unique patterns of signaling kinetics. This living material has the ability to be electrically stimulated and can process signals in a way feasible for sensory applications. Using English alphabet audio inputs, a systematic analysis demonstrates the capability to differentiate audio waveforms based solely on biological composite responses. The use of spectral analysis allows for the identification of specific spike timing patterns that encode unique characteristics of individual letters. Moreover, network disturbances result in specific changes in output, so validating the ability to adjust waveform classification. The study demonstrates that kombucha–chlorella–proteinoid composites provide a durable and versatile bioelectronic platform for immediate auditory processing. The work represents progress toward the development of bioelectronic systems that can be customized based on the principles of biological sensory processing, cognition, and adaptation.

Beyond Information Overload: Leveraging How the Brain Learns for Meaningful Impact

Abstract: This article discusses the importance of understanding neuroscience principles of how the brain learns and integrates new information with prior knowledge through its natural associative processes, as when new concepts are linked to past experiences through meaningful connections and context. Emotion is also key to effective memory and learning, as emotional experiences are more vividly remembered due to evolutionary priorities, yet interactions often lack meaning and human connection to optimize learning. Practical applications for organizations are suggested, such as frontloading context in new initiatives by relating them to past strategies and challenges faced, explicitly connecting new hire onboarding information to personal experiences, enhancing trainings with impactful real-world examples, and leveraging empathy during product development by mapping user needs and tying features back to core motivations. By consciously activating neural networks through association, emotion, context and meaning, organizations can optimize the brain's innate learning abilities compared to passive data consumption, forming deeper, more accessible insights through simple yet intentional techniques. This allows companies to cut through information overload and strategically leverage knowledge in today's changing business environment by operationalizing cognitive principles of learning.