Cognitive Technology Research Articles

What Kind of Cognitive Technology Is the "Memory House"?

Ancient Roman "technical memory" is not (as much of the modern specialist literature would have it) a generative technology of association. Rather it is (as a literal reading of the texts would suggest) a specialized tool for precise serial recall. Modern experimental evidence both confirms the fitness for the purpose of the technique and shows why that purpose is not trivial, as some have suggested. While the mechanism(s) by which the technique operates are not fully understood, a review of the current literature suggests that it would have had the advantage over other mnemonic techniques by virtue of recruiting a variety of cognitive capacities. These likely include spatial/navigational mechanisms and possibly visual/imagery-based ones as well. Finally, small differences between the method as recorded in the ancient texts and similar methods that have been the subject of laboratory experiments are used to suggest possible directions for further experimentation.

СУВЕРЕННАЯ РОССИЙСКАЯ ГОСУДАРСТВЕННОСТЬ. КОГНИТИВНЫЕ ТЕХНОЛОГИИ ТРАНСФОРМАЦИИ ЦЕННОСТЕЙ

Modern Russian statehood is based on domestic historical, legal, cultural values, the preservation of which is manifested in the provisions of the Constitution of the Russian Federation as one of the im-portant tasks. The value system is a topic that has repeatedly become the subject of scientific analysis. Protecting this system and its elements from threats, in particular from cognitive distortions and transformations, has become especially relevant in recent years. The article is devoted to the analysis of the influence of cognitive technologies on the system of sovereign Russian values. It is concluded that in Russian legislation, along with the concept of information security, it is necessary to consolidate cognitive security. In its most general form, it can be considered as a system for counter-ing cognitive technologies.

Нано-, био- и когнитивные технологии в производстве сидров и плодовой алкогольной продукции

Abstract. A brief overview of nano-, bio- and cognitive technologies in the beverage industry is presented. When developing products in the «science – production – market» system, it is currently necessary to focus on consumer preferences. The totality of the values of a manufactured product is determined by its consumer properties, commercial attractiveness, and is perceived as one whole. This must be taken into account when designing new high-quality Russian-made products. A brief overview of nano-, bio- and cognitive technologies in the beverage industry is provided with the aim of developing a cider production business plan model based on improved biotechnological techniques for the production of fermented apple wort. Objects of research: apple must from various varieties of apple fruits of domestic and foreign selection; enzyme preparations (SQzyme PCL, Grainzyme NL and Fructozym® P); yeast strains (OIC Fruit, Fruit Turbo, Combi and RV 100), bentonites (Vinobent, Bentovin, Bentovinum Gold, Bentostab, Apro-fine bent G, Apro-fine bent UF, Perdomini, etc. As a result, the feasibility of using enzyme preparations was shown (the most effective was SQzyme PCL with pectolytic action). The highest tasting rating was given to a sample of cider fermented with the Combi yeast strain (Saccharomyces cerevisiae and Oenococcus oeni), which was characterized by a bright, complex aroma and a full, rounded taste. The use of composites based on bentonites, proteins, tannins) for clarification and stabilization of ciders made it possible to obtain drinks of a light straw color while maintaining a bright aroma, and to increase their bottling resistance from 2 to 8 months. A model of a business plan for a cider production operating on a full cycle is proposed, with the possibility of receiving tourists, excursions to the apple orchard, production, tasting rooms and sales of products. Research was conducted to justify and select technological aids and yeast strains to improve biotechnological methods for the production of traditional ciders. Keywords: cognitive technologies, nanotechnology, biotechnology, yeast, technological aids Financing source: The research is carried out with the financial support of the Kuban Science Foundation in the framework of the scientific project № MFI-20.1/100.

Integration of Cognitive Technology in Learning Assessment and Evaluation

The integration of technology in education, especially cognitive technology, is important to increase the efficiency and effectiveness of the learning assessment and evaluation process. Cognitive technology, which combines artificial intelligence and machine learning, offers new possibilities for adapting and personalizing learning experiences. However, its use in learning assessment is still limited and requires further investigation to identify its effectiveness. This research aims to analyze and evaluate the role of cognitive technology in learning assessment and evaluation. The main objective is to determine the extent to which this technology can improve the accuracy and relevance of feedback provided to students and explore the potential for improving learning outcomes through adapting learning content based on assessment data. This research uses quantitative methods with an experimental design. The research sample involved students at a university who used a cognitive technology-based assessment system during one academic semester. The results show that using cognitive technology in assessment can improve accuracy in diagnosing learning weaknesses and provide more personalized and timely feedback. Additionally, students who took assessments with cognitive technology showed greater improvements in academic achievement compared to a control group that did not use similar technology. This research concludes that integrating cognitive technology in learning assessment and evaluation offers great potential to improve the educational process by providing more relevant and personalized feedback. This technology supports teachers in identifying individual learning needs and helps students understand their weaknesses, facilitating more effective and efficient learning. Keywords: The integration of technology in education, especially cognitive technology, is important to increase the efficiency and effectiveness of the learning assessment and evaluation process. Cognitive technology, which combines artificial intelligence and machine learning, offers new possibilities for adapting and personalizing learning experiences. However, its use in learning assessment is still limited and requires further investigation to identify its effectiveness. This research aims to analyze and evaluate the role of cognitive technology in learning assessment and evaluation. The main objective is to determine the extent to which this technology can improve the accuracy and relevance of feedback provided to students and explore the potential for improving learning outcomes through adapting learning content based on assessment data. This research uses quantitative methods with an experimental design. The research sample involved students at a university who used a cognitive technology-based assessment system during one academic semester. The results show that using cognitive technology in assessment can improve accuracy in diagnosing learning weaknesses and provide more personalized and timely feedback. Additionally, students who took assessments with cognitive technology showed greater improvements in academic achievement compared to a control group that did not use similar technology. This research concludes that integrating cognitive technology in learning assessment and evaluation offers great potential to improve the educational process by providing more relevant and personalized feedback. This technology supports teachers in identifying individual learning needs and helps students understand their weaknesses, facilitating more effective and efficient learning.

THEORETICAL AND METHODOLOGICAL ASPECTS OF USING INFORMATION AND COGNITIVE TECHNOLOGIES IN THE TRAINING OF TRANSPORT SPECIALISTS

The article addresses how to improve the professional training of specialists in the transport industry using information and cognitive technologies. The article aims to study and explain the problems, opportunities, and prospects of implementing and using information and cognitive technologies in the educational environment, as well as the specifics of their implementation for teaching and learning in educational and professional programs for the trans- port specialists’ training. The following methods of semantic and comparative analysis, classification, generalization, and sys- tematization, as well as competency-based, technological, and creative development approaches were used in the research. It has been found that cognitive technologies in the context of teaching and learning involve the use of methods and tools, which are based on understanding and activating cognitive processes such as think- ing, memory, and attention. In cognitive learning, the educational process focuses not on absorbing infor- mation but on understanding the internal connections of the studied subjects, which encourages students to engage in dialogical, exploratory thinking, and increases mental activity concentration. By complement- ing information technologies with cognitive ones, which take into account the individual and general cog- nitive students’ abilities, it is possible not only to encourage professional training but also to enhance the overall cognitive efficiency of future specialists. For educators, these technologies facilitate the use of ICT as cognitive tools for transitioning from traditional teacher-centred methods to constructivist student-cen- tred approaches. It has been established that information-cognitive technologies combine methods and algorithms based on insights into the cognition processes, learning, communication, and information processing, grounded in the achievements of neuroscience, digital and information technologies, and the mathematical modelling of consciousness. In the educational process, they are designed to support students in setting and solving cre- ative tasks that are difficult to formalize, as well as to reveal and effectively operate their cognitive potential. In the professional training of students, certain information-cognitive technologies can be applied both with and without the use of computer systems. These include technologies for developing critical thinking, creatively developmental technologies, project technologies, foresight methodologies, problem-based learn- ing technologies, mastery learning technologies, mental activity activation technologies, case studies, gaming technologies, visualization and data representation technologies, and learning through practice. Additionally, the use of multimedia technologies, scribing, virtual and augmented reality, project technologies based on networking, gamification, interactive technologies, primarily group work technol- ogies, open, distance, and blended learning technologies, and also the Internet of Things, Blockchain, Big Data, expert systems, SMART technologies, and artificial intelligence significantly enhances the quality of training students in proficiency transport area. It has been concluded that information and cognitive technologies provide interactive, personalized, and practically oriented learning, contribute to the development of student’s critical thinking, and for fu- ture transport specialists can optimize logistics processes, automate diagnostics, repair, and operation of vehicles, in addition, increase the specialist’s adaptability to the complex conditions of the modern and fu- ture professional environment.

The influence of cognitive technologies on the decision-making process and the purchasing experience in retail

This study explores the impact and use of cognitive technologies in the retail sector, which has recently attracted considerable interest from businesses, consultants, academics, and researchers. Through eight interviews with professionals from different areas within the retail sector, this paper aims to understand how industry professionals adopt these technologies and their role in shaping retail strategies. Our findings confirm that cognitive technologies significantly impact strategic decision-making within retail. These technologies drive new practices and investment decisions toward automation and optimization of internal operations and serve as key tools for understanding and gaining insights about consumers to shape purchasing behavior.

Designing a Cognitive Supply Chain Platform Using Sap ERP Solution for Smart Decision Support

Purpose: This paper aims to discuss how cognitive computing can work with supply chain management and differentiate it from the SAP ERP solutions which improves decision-making activities. It would reveal the potential of using analytics, machine learning techniques, and natural language processing for real-time decision-making. Methodology: To start with, a critical review of the literature is made and a functional breakdown of SAP ERP is conducted to understand the system’s structure and components. Talking about it in detail, the paper explores the chances, threats, and outlooks of integrating cognitive computing into SCM. Findings: In light of the above findings, it is revealed that integrating cognitive technologies with SAP ERP can enhance supply chain decision-making by equipping managers with complete timely information and possible future outcomes. Unique Contribution to Theory, Practice and Policy: Considering this, the paper suggests that more studies and implementations of cognitive supply chain platforms connected to the SAP ERP solution will improve decision-making effectiveness and company competitiveness in the modern context.

Fine-Grained Multi-class Road Segmentation using MultiScale Probability Learning

Abstract: Driven road segmentation, a crucial part of advanced driver assistance systems, looks at the surroundings to keep vehicles within safe driving limits (ADASs). It begins by outlining the automatic lane detection shortfalls of conventional computer vision systems, pointing out problems such subpar segmentation, insufficient mask edge contours, sluggish processing, and restricted flexibility in intricate urban environments. Next, a multi-step procedure using deep learning networks is offered as a solution. This involves extracting vector skeletons, computing neighbouring pixels, assigning proportional weights depending on endpoints, and getting binary prediction masks. The conversation also touches on how self-driving technology will affect society, emphasizing how it could provide safe and intelligent transportation choices in the face of an increase in traffic accidents caused by careless drivers. Self-driving cars could be the first practical example of socially conscious robots interacting with humans, the story implies, even if it acknowledges possible public opposition. Furthermore, the story highlights the latest developments in autonomous driving technology, highlighting the vital requirement for strong sensing, perception, and cognitive technologies to enable completely autonomous vehicles that can adjust to changing road conditions.

Cognitive Technology to Evaluate the Academic Learning of Computational Cognition in Psychology Students

<p style="text-align:justify">This study illustrated an alternative way to evaluate students’ academic learning. It involved the joint and intertwined application of the natural semantic network technique, computer simulations, and semantic priming experiments to assess the cognitive changes in knowledge structures due to academic learning in two groups of psychology students. The experimental group was enrolled in a course on computational cognition, while the control group was oblivious to this course. The results indicated that the cognitive assessment tools discriminate the cognitive changes produced as a result of general training undertaken in a psychology degree versus the influence of a specific course. After the course, the experimental group increased their technical vocabulary, changed their conceptual valuation of definers related to computational theories of mind, and reorganized the relations among definers according to the computational cognition approach. Also, this group presented a higher connectivity index between the concepts of the semantic network, their conceptual activation level and conceptual co-activation pattern changed, and their access level to the evaluated schema’s concepts improved. In contrast, the control group did not show significant changes in their cognitive patterns after the course. These findings suggest that cognitive tools may be helpful in the diagnosis of academic learning.</p>

Когнитивный механизм мировоззренческих моделей: структура и принципы функционирования

The work is devoted to the little-studied problem of cognitive elements of worldview. The subject of analysis is the cognitive mechanism of functioning of worldview models. A theoretical and methodological construct for studying the dynamic states of various worldview models was developed, which was based on the functional directions of the philosophy of cognitive science and cognitive science. The goal is to identify predictors of dynamics (prognostic parameters of variables) that make it possible to predict trends in changes in worldview models. The structure of the cognitive mechanism of worldview models is described, the elements of which are cognitions - cognitive elements of consciousness, or mental processes of information processing. The empirical part of the study, devoted to testing the hypothesis about the principles of functioning of the cognitive mechanism of worldview models, made it possible to conduct a quantitative analysis of some parameters that are most susceptible to external influence. The result was the conceptualization of the cognitive mechanism of worldview models and the identification of criteria for its dynamics. It has been established that the functional cognitive-value mechanism is represented by a set of processes of perception, reception, representation and memory. It has been proven that parameters such as assessment of the surrounding world, assessment of threats and risks, personal control, and memory can become objects of influence on the worldview in order to change it. The results obtained made it possible to formulate the principles of cognitive technologies of consciousness control necessary to control destructive forms of behavior. The study was conducted with the financial support of the Ministry of Science and Higher Education of the Russian Federation within the framework of the project “Cognitive and value structure of worldview models of modern Russians: generational and regional differences.”

The impact of a training intervention on knowledge, confidence and attitudes of professionals in a Community Acquired Brain Injury Service about assistive technology for cognition: a before and after survey

ABSTRACT Assistive Technology for Cognition (ATC) can help people to compensate for cognitive impairments following Acquired Brain Injury (ABI). Examples include mainstream devices such as smartphones, watches and environmental controls, and bespoke devices such as medication devices or specific educational software. Evidence suggests that professional support is key to people successfully adopting ATC, yet low confidence amongst clinicians and perceptions about barriers are often cited as reasons for not recommending ATC in practice. The objectives of this service evaluation were to evaluate the impact of an ATC training opportunity on the knowledge and confidence of staff and to explore staff perspectives of the barriers and enablers to implementation of ATC in practice. A survey was completed by 21 members of a Community Acquired Brain Injury Service before and after participating in an ATC training workshop. Survey findings highlighted that attitudes toward, and confidence with ATC, showed positive change after the training, whilst perceptions about barriers to implementation in practice reduced. Responses also highlighted the perceived importance of education for health professionals, service users and families as key enablers to successful implementation. Multi-professional training is therefore an important part of an implementation strategy for ATC.

Emerging wireless communication technologies in Iraqi government: Exploring cloud, edge, and fog computing

This study aims to structure the implementation of a governmental cloud of things (CoT), edge computing (EC), and fog computing in Iraq in the context of sustainable wireless communication. A base of literature was built that included any challenges, opportunities, and best practices relevant to these innovative technologies to set up the background for this paper. A concept model was created that included core components (cognitive technologies and fog computing), key processes (resource analysis, infrastructure design), and stakeholders (governments, industry, community). A strategic methodology made up of stakeholder involvement, capacity building, and pilot projects was used in the project. Concerning IoT planned deployment and services provision, network infrastructure was put in place to support the devices and a higher level of security measures were recommended. Using scenario hypothesis, MATLAB simulator was employed to simulate data value distribution as well as received power distribution based on different institutions for 12 months. Monitoring and evaluation should be followed to measure performance indicators and effects on this process. Continuously improvement strategies were the highlight of the session which further stimulated innovations. Acquainted projects will be put in the function to extend the range of activities by including additional government agencies, regions, or sectors. Reporting of the collected data and funding will be done with stakeholders to share and pool knowledge.

Automation in Pharmacovigilance

The term “pharmacovigilance,” first proposed in the1970s, has gradually gained traction to become one of the two common terms of art for the overall discipline, the other, older term being “drug safety.” “World Health Organization (WHO)” as “the science and activities relating to the detection, assessment, understanding and prevention of drug-related problems”. The information about suspect product is collected from healthcare providers and patients to detect and prevent abnormalities associated with it. Therefore, PV deals with adverse effects of drug, poly-pharmacy, paradoxical reactions, and severe adverse events. Automation in pharmacovigilance entails using cognitive technologies such as machine learning (ML) and advanced analytics to transform legacy data compilation processes and information gathering for regulatory approval. Automation technologies have strong potential to automate routine work and balance resource use across safety risk management and other pharmacovigilance activities. This article provides an overview of automation in pharmacovigilance.

Human innovation and the creative agency of the world in the age of generative AI

With the advent of Large Language Models, such as ChatGPT, and, more generally, generative AI/cognitive technologies, global knowledge production faces a critical systemic challenge. It results from continuously feeding back non- or poorly-creative copies of itself into the global knowledge base; in the worst case, this could not only lead to a stagnation of creative, reliable, and valid knowledge generation, but also have an impact on our material (and subsequently our social) world and how it will be shaped by these rather uninspired automatized knowledge dynamics. More than ever, there appears to be an imperative to bring the creative human agent back into the loop. Arguments from the perspectives of 4E- and Material Engagement Theory approaches to cognition, human-technology relations as well as possibility studies will be used to show that being embodied, sense-making, and enacting the world by proactively and materially interacting with it are key ingredients for any kind of knowledge and meaning production. It will be shown that taking seriously the creative agency of the world, an engaged epistemology, as well as making use of future potentials/possibilities complemented and augmented by cognitive technologies are all essential for re-introducing profound novelty and creativity.

Public Danger and Problems of Qualifying the Creation and Operation of Fraudulent Call-Centers

Relevance. The use of technological progress by criminals for criminal purposes is one of the pressing problems today. In this context, modern information and communication technologies deserve special attention, providing the possibility of global communication, exchange and storage of information, learning and knowledge acquisition, optimization and anonymization of financial transactions. Manipulating people's consciousness through the use of information and cognitive technologies is today a common way of committing various types of fraud. These opportunities are fully and actively used in the implementation of such a group form of fraud as the activities of fraudulent call centers. The purpose of the study is to assess the public danger and identify problems in qualifying the creation and operation of fraudulent call centers. Objectives: to identify compliance with the essence of the criminal activity of fraudulent call centers and assess the public danger of this criminal activity;identify problems in classifying such acts and suggest ways to eliminate them. Methodology. When writing the work, the tools of dialectical, systemic and activity-based approaches were used, as well as general logical thinking techniques, general scientific and special scientific methods.Results. It has been established that the underestimation of the public danger of the activities of fraudulent call centers, and, accordingly, the insufficient effectiveness of measures taken today to counter them, are due to ignorance of the fact that the joint criminal activities of fraudsters in this case form a criminal community. Conclusions. This type of criminal activity corresponds to all the characteristics of a criminal community (struct redness; unified leadership; the purpose of creation is to commit one or more serious or especially serious crimes to obtain directly or indirectly financial or other material benefits).In addition, the qualification of the activities of fraudulent call centers under Art.210 of the Criminal Code of the Russian Federation will allow the court to ensure the possibility of confiscation of property obtained as a result of criminal activity.

Cognitive Technology in Human Capital Management: A Decision Analysis Model in Banking Sector during COVID-19 Scenario

Cognitive Technology in Human Capital Management: A Decision Analysis Model in Banking Sector during COVID-19 Scenario

Group Coordination Catalyzes Individual and Cultural Intelligence.

A large program of research has aimed to ground large-scale cultural phenomena in processes taking place within individual minds. For example, investigating whether individual agents equipped with the right social learning strategies can enable cumulative cultural evolution given long enough time horizons. However, this approach often omits the critical group-level processes that mediate between individual agents and multi-generational societies. Here, we argue that interacting groups are a necessary and explanatory level of analysis, linking individual and collective intelligence through two characteristic feedback loops. In the first loop, more sophisticated individual-level social learning mechanisms based on Theory of Mind facilitate group-level complementarity, allowing distributed knowledge to be compositionally recombined in groups; these group-level innovations, in turn, ease the cognitive load on individuals. In the second loop, societal-level processes of cumulative culture provide groups with new cognitive technologies, including shared language and conceptual abstractions, which set in motion new group-level processes to further coordinate, recombine, and innovate. Taken together, these cycles establish group-level interaction as a dual engine of intelligence, catalyzing both individual cognition and cumulative culture.

COGNITIVE TECHNOLOGY FOR THE FORMATION OF COMPETENCIES OF STUDENTS IN THE STUDY OF NATURAL SCIENCE SUBJECTS

The article focuses on the study of the impact of cognitive technologies, in particular those based on artificial intelligence, on the process of forming the competencies of students, as well as on the consideration of approaches to the development of cognitive information technology. As part of the work, the authors developed a model of cognitive technology for the formation of competencies of students, which integrates an individualized approach to learning aimed at improving the quality of education and developing key competencies of students. The authors conducted a detailed analysis of the current scientific literature to determine the critical parameters for evaluating the effectiveness of the proposed system. The empirical part includes experiments with students studying natural science disciplines, demonstrating a significant improvement in learning and motivation to pursue education. It is shown that the cognitive model of the technology for the formation of competencies of students is influenced by the following: the regulatory framework, the concept of cognitive technology, the software and hardware complex, and human resources. The result of the application of this technology is «Recommendations for improving the process of forming the competencies of students». It is also shown that this model can be divided into two stages: «Neural network training» and «Implementation of the neural network in the educational process». This study focuses on achieving efficiency and minimizing educational losses in the process of acquiring competencies. The study confirms the sufficient effectiveness of cognitive technology for the formation of competencies of students, opening up new prospects for its application in various educational contexts. The study shows the possibilities of an approach to the development of educational technologies using artificial intelligence, offering innovative approaches to learning, contributing to the formation of deep knowledge and the development of a comprehensive understanding of the subject matter.

Bioética clínica, deliberação e digitalização da medicina

Abstract The development of cognitive technologies and the robotization in health care may intensify the relational distance between healthcare professionals and patients. Therefore, bioethical reflection is essential to find the most appropriate means to integrate the benefits of digital technologies into health care, ensuring ethical care. Thus, bioethics provides healthcare professionals and patients with discursive resources, aiming to enable the most prudent and reasonable decision-making. The exercise of communicative competence is crucial in the process of digitalizing medical activities and in the use of data analysis through artificial intelligence. Deliberative practice and patient-centered medical care are the ethical directives for the introduction of computational technology in medicine, preserving humanized and dialogical health care.

Human beings in a civilization of cognitive technologies

The problematics of civilization development and the place of human being in it is a significant area of research, which is additionally actualized nowadays in the conditions of the outlined transition to a new stage - the civilization of cognitive technologies. According to the assessment proposed in the article, three stages of civilization development should be distinguished: agrarian, machine, and the civilization of cognitive technologies, which is currently being formed. It is characterized by the main need in the form of artificial cognitive systems for intellectual control of machines for the production of material goods, and the result of satisfying this need is the replacement of human beings by artificial cognitive systems in the intellectual control of machines. The following several questions are key in the context of the mentioned problems: "What are the functions of human beings in the existence and development of civilization?", "Do these functions change?", "Are there inalienable ones among them?", "What can become the basis for the further development of civilization?". The functions of human beings within civilization are the generation of needs and work to satisfy them. Generation of needs is an inalienable function of human being in civilization, which determines the determining role of the evolution of needs in the development of civilization. The main role in the evolution of needs belongs to social mechanisms of compulsion (motivation) to consumption, which influence not only the satisfaction of social needs, but also stimulate excessive consumption of material goods and intellectual activity. Further development of civilization will preserve the position of human being as an initiator of this development only in case of successful implementation of social coercion mechanisms. The condition for this is social integration: preservation and expansion of ties between human beings, counteraction to the fragmentation of society.