Concept Of Intelligence Research Articles

AIoT-enabled decentralized sensor fault diagnosis for structural health monitoring

Structural health monitoring (SHM) systems collect and analyze data recorded from civil infrastructure to detect changes in the structural condition and to predict potential damage. However, sensor faults in SHM systems may lead to erroneous structural assessments, thus to inefficient maintenance operations, which could jeopardize the integrity of the structures. Artificial intelligence (AI) algorithms based on analytical redundancy have proven being effective foundations to implement sensor fault diagnosis but are computationally expensive and require large amounts of raw sensor data to be transmitted to centralized servers. Moreover, operating with centralized servers increases the likelihood of single points of failure, which compromises the robustness of SHM systems. To overcome the limitations and to enhance the robustness of SHM systems, this paper proposes a decentralized approach towards fault-tolerant SHM systems based on the concept of Artificial Intelligence of Things (AIoT). Fault diagnosis algorithms based on AI are embedded into sensor nodes deployed for SHM, using Internet of Things technologies to be computed at the edge of civil infrastructure, avoiding large amounts of data to be sent to central servers. In addition, the sensor nodes embed algorithms that collect, process, and analyze the sensor data to assess the condition of the structures being monitored. The result is a smart (i.e., decentralized, fault-tolerant, and AIoT-based) SHM system that is calibrated in a laboratory experiment and then deployed on a bridge for field validation. It is expected that the approach presented in this paper will improve the robustness of SHM systems in assessing the structural condition of civil infrastructure.

قابلية التحكيم كوسيلة بديلة لفض المنازعات لاستيعاب النظم الذكية:

Arbitration occupies an essential position as an alternative means of resolving disputes between individuals. It is a self-standing mechanism, under which the parties benefit from a set of advantages, such as the advantage of resolving their conflicts confidentially and within limited deadlines compared to the lengthy procedures of the ordinary judiciary. However, the emergence of advanced technology such as artificial intelligence techniques has begun to raise many questions about the possibility of benefiting from them in the future in alternative means of dispute resolution, such as arbitration, especially since the field of artificial intelligence is a highly developed field continuously, which raises a significant number of questions, all of which revolve around ways to benefit Arbitration of these types of advanced technology. Therefore, the study mainly aims to predict the future of arbitration in light of continuous technological development, especially with regard to artificial intelligence techniques. The subject was dealt with according to the coupling between the descriptive method, the analytical method, and the comparative method. The concept of artificial intelligence has also been clarified. Three hypotheses have been put forward that embody the extent of arbitration as an alternative means of dispute resolution to accommodate the artificial intelligence system in a first topic, with an evaluation of this system in arbitration and some applications that devote the tendency to resolve disputes amicably using artificial intelligence techniques in a second topic. The researchers concluded that the position of artificial intelligence in arbitration will inevitably appear clearly in the near future, so it should be dealt with special care so that only the strengths of artificial intelligence can be benefited from without compromising the basic values and principles of arbitration.

A critical take on the role of random and local search-oriented components of modern computational intelligence-based optimization algorithms

The concept of computational intelligence (CI)-based optimization algorithms emerged in the early 1960s as a more practical approach to the contemporary derivate-based approaches. This paved the way for many modern algorithms to arise with an unprecedented growth rate in recent years, each claiming to have a novel and present a profound breakthrough in the field. That said, many have raised concerns about the performance of these algorithms and even identified fundamental flaws that could potentially undermine the integrity of their results. On that note, the premise of this study was to replicate some of the more prevalent, fundamental components of these algorithms in an abstract format as a measure to observe their behavior in an isolated environment. Six pseudo algorithms were designed to create a spectrum of intelligence behavior ranging from absolute randomness to local search-oriented computational architecture. These were then used to solve a set of centered and non-centered benchmark suites to see if statistically different patterns would emerge. The obtained result clearly highlighted that the algorithm’s performance would suffer significantly as these benchmarks got more intricate. This is not just in terms of the number of dimensions in the search space but also the mathematical structure of the benchmark. The implication is that, in some cases, sheer processing resources can mask the algorithm’s lack of sufficient intelligence. But as importantly, this study attempted to identify some mechanics and concepts that could potentially cause or amplify this problem. For instance, the excessive use of greedy strategy, a prevalent measure embedded in many modern CI-based algorithms, has been identified as potentially one of these reasons. The result, however, highlights a more fundamental problem in the CI-based optimization field. That is, these algorithms are often treated as a black box. This perception cultivated the culture of not exploring the underlying structure of these algorithms as long as they were deemed capable of generating acceptable results, which permits similar biases to go undetected.

THE EFFECTIVENESS OF ADVANCED TRAINING COURSES FOR TEACHERS IN FIELD OF EMOTIONAL INTELLIGENCE

The purpose of this article is to demonstrate the effectiveness of advanced training courses for teachers aimed at developing emotional intelligence, as well as to assess their impact on the professional growth of teachers and improve practical skills in managing emotions and interpersonal relationships in an educational environment. The study was conducted using diagnostic and final testing, as well as feedback from course participants. Diagnostic testing was conducted before the start of the course to assess the initial level of knowledge about emotional intelligence, and final testing was conducted at the end of the course to measure changes in the level of knowledge. Feedback from the trainees was used to assess the satisfaction with the courses and their perception. The test results showed a statistically significant improvement in the level of teachers' knowledge about emotional intelligence after completing the course. Diagnostic testing revealed that initially a significant part of the teachers lacked basic information on this topic. The final testing demonstrated a significant increase in awareness and understanding of the concepts of emotional intelligence. Feedback from the course participants confirms the positive perception of the material and its practical significance for professional activity. The refresher course has demonstrated its high effectiveness in improving teachers' knowledge of emotional intelligence and their practical skills in managing emotions and interpersonal relationships. The results of the study emphasize the importance of including emotional intelligence topics in educational programs for teachers, which contributes to their professional growth and improving the quality of the educational process.

Cultural Intelligence Profile of Junior High School Counsellors and Its Implication on Multicultural Counseling

The diversity of ethnicities, religions, and races that exist in Indonesia contribute to the country's characterization as a nation with a multitude of cultures. In the context of the relationship between counselor and counselee, cultural diversity is a significant concern. The comprehension, awareness, and work behavior of the counselee's cultural diversity is indicative of the counselor's cultural intelligence. The concept of cultural intelligence is a crucial aspect that counselors must consider when providing multicultural counseling services. The objectives of this research are to determine the description of counselors' cultural intelligence and its application in multicultural counseling. The research employed a quantitative research survey design for junior high school counselors in Malang Regency. For the research instrument, this study employed an intelligence scale adapted from Early and Ang. The data were analyzed descriptively in order to describe the counselor's cultural intelligence profile. The results indicated that metacognitive indicators exhibited the highest proportion, with 40% falling within the very high category, while behavioral indicators exhibited the lowest proportion, with 5% falling within the deficient category. The results of the study indicate that there is a need for counseling assistance in the behavioral aspect of cultural intelligence in order to facilitate the implementation of multicultural counseling. In essence, cultural intelligence represents a form of counselor multicultural competence that is necessary for the implementation of multicultural counseling. An increase in cultural intelligence thus supports an increase in multicultural counseling.

The Role of Biology Education in Efforts to Revitalize Human Intelligence in the Era of Disruption: A Human Nature Perspective

The impact of technological domination can threaten the balance of human natural intelligence. The aim of this research is to analyze how biology education can be a solution in overcoming these challenges. The research method used involved an in-depth literature review of the concepts of natural intelligence, human nature, and the impact of technology on both. In addition, field research was conducted to analyze the effectiveness of biology education strategies implemented in several educational institutions. The research results show that biology education, critical thinking skills, and connection with nature can make a significant contribution to revitalizing human intelligence. The integration of biological concepts allows individuals to stay connected and offset the negative effects of technology. Thus, biology education has a crucial role in maintaining human natural intelligence in an era of disruption.

Measuring Adaptive Intelligence of the Gifted Through Critical Problem Analysis

ABSTRACT Procedures for identifying the gifted often make use of tests of general intelligence, among other assessments. Robert J. Sternberg recently suggested that identification of the gifted should further involve assessment of what he refers to as adaptive intelligence—the ability to adapt to real-world environments. Such a conception of intelligence is consistent with that of early theorists of intelligence, such as Alfred Binet and David Wechsler, and also fits in with more recent ecological approaches to intelligence. This article presents a first attempt at measuring adaptive intelligence in the gifted and presents the results of two exploratory studies measuring the construct.

Turkish Language Prospective Teachers’ Perceptions of Metaphors Regarding Artificial Intelligence

The concept of Artificial Intelligence (AI) initially emerged as a term in the field of computer science. In the subsequent years, this concept transcended its origins and became relevant across various domains of human life. Nowadays, it’s possible to encounter AI in nearly every aspect of human life. In this context, it’s considered noteworthy to examine individuals’ metaphorical perceptions of AI. Accordingly, the purpose of the research is determined as the investigation of Turkish prospective teachers’ metaphorical perceptions of AI. Phenomenology, a qualitative research method, is employed in the study. The study group consists of 115 voluntary Turkish prospective teachers, 94 of whom are female and 21 are male, studying at the Faculty of Education at Artvin Çoruh University. Among the prospective teachers, 36 are first-year students, 37 are second-year students, 26 are third-year students, and 16 are fourth-year students. Data for the research are collected through semi-structured interview forms prepared by the researchers. Content analysis method is used for data analysis, and the data are presented by tabulating them along with frequency values. The analysis reveals that 115 Turkish language prospective teachers produced a total of 110 metaphors. Among these metaphors, 21 belong to male prospective teachers, while 89 belong to female prospective teachers. Metaphors such as human (f19), robot (f10), future (f4), ocean (f3), storm (f2), spring (f2), assistant (f4) are found to be generated by both female and male prospective teachers. In addition to positive metaphors, Turkish language prospective teachers also generated negative metaphors like threat (f2), massacre (f1), monster (f1), etc., concerning AI. Consequently, although Turkish language prospective teachers developed some negative metaphors, it’s observed that their perceptions of AI are predominantly positive.

Когнитивная и методологическая сторона герменевтики в свете концепций социального и эмоционального мозга

The article examines popular conceptions of social and emotional intelligence that allow the question of the specificities of the social sciences and humanities to be revisited in a new context. On the one hand, the example of hermeneutics draws attention to the fundamental difference between the social and human sciences and the natural sciences. On the other hand, in light of recent research on social and emotional intelligence and the conceptions of the social and emotional brain, the authors aim to justify the possibility of distinguishing between the cognitive and methodological aspects of hermeneutics. The article reviews popular cognitive studies that demonstrate current trends in the study of the social nature of human beings. It raises the question of the prospects for modern scientific justification of the social and humanitarian problems raised by hermeneutics in the 20th century, and the possibility of using the experience accumulated by hermeneutics in the study of the intuitive side of human understanding for the further development of conceptions of the social and emotional brain.

АНАЛИЗ СВЯЗИ МЕЖДУ ЭМОЦИОНАЛЬНЫМ ИНТЕЛЛЕКТОМ И УСПЕХОМ В ОБРАЗОВАНИИ

The concept of emotional intelligence and its components are considered. The results of a practical study devoted to the analysis of the relationship between emotional intelligence and academic per-formance of students in a higher educational institution are presented

Deep learning with a small dataset predicts chromatin remodelling contribution to winter dormancy of apple axillary buds.

Epigenetic changes serve as a cellular memory for cumulative cold recognition in both herbaceous and tree species, including bud dormancy. However, most studies have discussed predicted chromatin structure with respect to histone marks. In the present study, we investigated the structural dynamics of bona fide chromatin to determine how plants recognise prolonged chilling during the initial stage of bud dormancy. The vegetative axillary buds of the 'Fuji' apple, which shows typical low temperature-dependent, but not photoperiod, dormancy induction, were used for the chromatin structure and transcriptional change analyses. The results were integrated using a deep-learning model and interpreted using statistical models, including Bayesian estimation. Although our model was constructed using a small dataset of two time points, chromatin remodelling due to random changes was excluded. The involvement of most nucleosome structural changes in transcriptional changes and the pivotal contribution of cold-driven circadian rhythm-dependent pathways regulated by the mobility of cis-regulatory elements were predicted. These findings may help to develop potential genetic targets for breeding species with less bud dormancy to overcome the effects of short winters during global warming. Our artificial intelligence concept can improve epigenetic analysis using a small dataset, especially in non-model plants with immature genome databases.

THE ROLE OF ARTIFICIAL INTELLIGENCE IN MAKING FOREIGN POLICY DECISIONS IN THE UKRAINIAN-RUSSIAN WAR

The article considers the application of the artificial intelligence systems as a new tool in making foreign policy decision. The content of the concept of artificial intelligence is studied, the scope of the use of artificial intelligence systems in everyday life and in international relations is studied. It can be noted that AI, as a progressive and rapidly developing technology, has a large set of tools that help people make decisions and increase the efficiency of their work, for example, save time and spent resources to achieve a particular result. With the development of technology, more and more machines with artificial intelligence are used in various areas of life. For example, the field of medicine, mechanical engineering, data analysis, public administration and politics - all these fields are actively developing with using of artificial intelligence technologies. Special attention is paid to how artificial intelligence affects in making decision, event forecasting, and automation of data analysis. The use of artificial intelligence systems in international diplomacy was analyzed. Attention is focused on the weak and strong sides and what risks this technology can carry for foreign policy decisions. The given statistical data show how artificial intelligence is treated in Ukraine. Based on the research, it can be concluded that for the widespread use of artificial intelligence, it is necessary to develop convenient and transparent rules and algorithms, norms for the using of technology and its interaction with people. Summarizing the discussed topic, we will come to the conclusion that artificial intelligence will soon become a powerful tool in international relations, diplomacy, and in other areas of our life, which will bring benefit and a real threat. But in order for the benefit to be greater, it is necessary that the people who will use artificial intelligence be trained and knowledgeable in the technology.

USE OF ARTIFICIAL INTELLIGENCE IN ACCOUNTING AND ANALYTICAL PROCESSES

The beginning of a new era has led to the emergence of new factors that impede the effective operation of enterprises. One of these factors is the exponential growth of the amount of data that needs to be processed and analyzed in order to make effective management decisions. This leads to the need to develop or search for a software product aimed at collecting, analyzing and systematizing a large amount of data, as well as performing relevant tasks based on them that artificial intelligence is capable of. The article is aimed at researching and revealing the potential of using artificial intelligence (AI) in the field of accounting. The main focus is on improving the efficiency of the enterprise, which is achieved by automating and optimizing various aspects of accounting work. On the basis of a thorough analysis of the works of foreign and domestic specialists, the theoretical aspects of the concept of artificial intelligence are distinguished on the basis of systemic, functional and information approaches. The directions of compliance of the accountant, which can be artificial intelligence, are identified, namely: processing of invoices, cost management, analysis of financial statements, management of payables and receivables, compliance with tax legislation and detection of fraud and risk management. Ways of using AI in processes of automation and optimization of processes, such as invoice processing, cost management, financial reporting analysis, control of accounts payable and receivable, ensuring compliance with tax legislation and fraud detection and risk management, have been identified. The artificial intelligence technologies for their purpose, which are the most used in the world, are presented. The sequence of actions in the identified needs in artificial intelligence and its outstanding volume is structured. The results of the study confirm the potential of AI to automate operations, increase productivity and accuracy in accounting, as well as reduce risks and improve audit efficiency. Key words: Artificial intelligence, accounting, analysis, accounting automation, accounting information systems, information systematization, management efficiency.

Development of Classification Method for Lecturer Area of Expertise Based on Scientific Publication Using BERT

Implementing the Artificial Intelligence concept in higher education can be utilized in the context of Human Resource (HR) talent management. The lecturer portfolio provided by the Integrated Resource Information System (SISTER DIKTI) is expected to give an overview of the profiles of all lecturers and map competencies based on groups of fields of knowledge. However, the map of scientific fields based on SISTER data currently available is still subjective. The data is in the form of a group of lecturers' chosen fields of science, independently selected by each lecturer to recognize their expertise. This study discusses the problem of processing unstructured SISTER data. It looks for mapping solutions and classification methods by developing a strategy for classifying groups of scientific fields from unstructured data input. It is necessary to identify the suitability of the chosen field of science compared to that developed through the tri-dharma through identification based on a mapping of the group of fields that can be extracted from the tri-dharma activity, in this case, research represented by scientific publications recorded on SISTER. Therefore, we need an appropriate model to measure similarity, which can then be classified based on abstract documents and scientific publication titles for the classification of scientific fields using NLP based on classification run on DGX A100. This study aims to develop a classification method from titles and abstracts. Scientific publications contained in SISTER are unstructured data, so a corpus is formed to identify the lecturer's field of science. The results show that the classification method developed in this study can measure the similarity of lecturer publications based on abstracts and titles through a vector formation process based on bidirectional encoders and also produces a deep learning model to classify 24 categories of fields of science with an accuracy of 95,0345 percent on training data and 92.876 percent on the test data.

Problems of copyright for the products created by artificial intelligence

The article discusses current problems of authorship of intellectual products created by artificial intelligence, as well as the concept and legal personality (quasi-subjectivity) of artificial intelligence. The relevant provisions of the Civil Code of the Russian Federation (Articles 1225, 1228, etc.) and the practice of their application are analyzed using general and specific scientific methods – analysis, synthesis, analogy, formal legal, comparative legal methods, interpretation of legal norms, etc. Based on a study of legal literature and current regulations, the author analyzes the concept of legal personality (quasi-subjectivity) of artificial intelligence. It is shown that copyright for the products created by artificial intelligence has not yet been legally regulated. It is concluded that currently such a product does not fall under the criteria defined by Article 1228 of the Civil Code of the Russian Federation, and is not anyone’s intellectual property; thus, it is not subject to legal protection. For the purposes of legal regulation, the author proposes his own definition of authorship in relation to a product of intellectual creativity. Considering the rapid development of information technologies, the legal personality (quasi-subjectivity) of artificial intelligence needs scientific understanding. In the future, a legal definition of artificial intelligence should be adopted and corresponding copyrights should be regulated.

TRENDS OF ARTIFICIAL INTELLIGENCE AND IMMERSIVE DESIGN USE IN THE FORMATION OF ARCHITECTURAL ENVIRONMENT

There is increasing attention to a new design methodology incorporating the latest achievements of a non-hierarchical way of forming based on the learning process of computers or machines, namely the concepts of artificial intelligence (AI) and immersive design, using virtual and other types of reality. The study aims to reveal the necessity to identify the main trends of artificial intelligence and immersive design use in architectural environment formation. The results can contribute to rethinking architectural design algorithms at the present stage and identifying potential opportunities for improvement. The paper describes the possibilities of AI and immersive design in architectural environment formation. Analysis of current research in this field has made it possible to identify trends that likely will continue to develop further and impact the architectural profession. One of these trends is the improvement of the architect’s toolkit, currently provided by additional plug-ins to existing programmes or separate services based on AI algorithms, but in the future, it may be a change in the programme code itself with a completely updated structure. In this case, the role of software from the architect-managed toolkit may shift to another plane, such as a digital assistant that partially or fully manages its responsibilities in working on an architectural project. The symbiosis of multidirectional but powerful immersive design technologies (VR, AR, MR) and AI algorithms is another trend in architectural environment formation. It can also be characterised as the most experimental and, at the same time, dynamically progressing, given the active development of its components. Another modern trend is to bring architectural design to a new level of a balanced combination of virtual and real. The immersion of the user in virtual reality for design work and demonstration of the relevant results is gradually changing as the 3D model of an architectural structure is increasingly manifested in the physical world, including at the implementation site, and interactive equipment with flexible and constantly evolving functionality provides architects with more opportunities for creativity. Keywords: artificial intelligence, immersive design, architectural environment.

On the information content of explainable artificial intelligence for quantitative approaches in finance

AbstractWe simulate economic data to apply state-of-the-art machine learning algorithms and analyze the economic precision of competing concepts for model agnostic explainable artificial intelligence (XAI) techniques. Also, we assess empirical data and provide a discussion of the competing approaches in comparison with econometric benchmarks, when the data-generating process is unknown. The simulation assessment provides evidence that the applied XAI techniques provide similar economic information on relevant determinants when the data generating process is linear. We find that the adequate choice of XAI technique is crucial when the data generating process is unknown. In comparison to econometric benchmark models, the application of boosted regression trees in combination with Shapley values combines both a superior fit to the data and innovative interpretable insights into non-linear impact factors. Therefore it describes a promising alternative to the econometric benchmark approach.

Freak Pictures, Fly Fishers, and Optical Illusions: Historical Antecedents of the Science of Fish Vision

Abstract In the early twentieth century, when little was known about the underwater realm, the question of subaquatic vision garnered much interest. Based on human laws of optics in water, observers of the time claimed to show how fish see, and the impact of illusions on fish vision. Addressing fly-fishers in particular, they raised the question of whether fish see “freak pictures” and “monsters.” The present study examines five scientific visualizations published in Scientific American in 1913 to determine whether optical illusions remain relevant for fish scientists today and whether conceptions of visual intelligence in fish have changed since 1913.

The Possibility of Applying Artificial Intelligence in the Delivery of Justice by Courts

Abstract The article analyses the prospects for the application of artificial intelligence in the delivery of justice by courts. The application of artificial intelligence is increasingly spreading in various different areas of life - both in the daily life of individuals and in the public sector. One of the main areas where artificial intelligence is already being applied is in the area of justice. However, given the complexity and importance of this field, the question arises whether artificial intelligence could really replace the person of the judge. In order to answer this question, the authors first assess what constitutes the delivery of justice. Secondly, the authors analyse the concept of artificial intelligence and the possibilities of its use. Thirdly, the authors assess the potential and risks of artificial intelligence in the delivery of justice. The paper reviews various artificial intelligence models already in use around the world and assesses the application of various technologies (large language models such as ChatGPT) in the court. Finally, conclusions are drawn as to whether artificial intelligence can replace the person of the judge.

Meta-Analysis: Investigating the Emotional Intelligence among Undergraduate Students

The concept of emotional intelligence has long been a subject of keen interest and extensive research. The present study aims to find the level of EI of students in Pakistan by conducting meta-analysis emphasizing gender differences and educational impact. Utilizing a meta-analysis of peer-reviewed studies from multiple Database like Google scholar, SCOPUS, Mendeley were searched published between January 2020 to June 2024. The findings revealed that EI significantly influences performance in academics, personal development, and social interactions. Despite minimal gender differences, EI competencies such as self-awareness, empathy, and emotional regulation are very important for students' holistic development. The study indicates the integration of EI training into university curricula and suggested professional development for teachers, provide counseling services to students, and engage students in extracurricular activities to cultivate EI. Suggestion to conduct Longitudinal research is for further understand the long-term benefits of EI development were given. This comprehensive analysis provides information to educators and policy makers on the EI’s importance in cultivating adaptable, empathetic and resilient individuals.