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Journal articles on the topic 'Cognitive artificial intelligence'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Pimple, Omkar, Umesh Saravane, and Neha Gavankar. "Cognitive Learning Using Distributed Artificial Intelligence." International Journal of Machine Learning and Computing 5, no. 1 (2015): 7–11. http://dx.doi.org/10.7763/ijmlc.2015.v5.474.

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A, Zapata Flórez. "Cognitive Priority over Ethical Priority in Artificial Intelligence: The Primordial Philosophical Analysis in Artificial Intelligence." Philosophy International Journal 5, no. 4 (2022): 1–10. http://dx.doi.org/10.23880/phij-16000269.

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The general idea that we have of artificial intelligence (AI) consists of the belief that machines will be able to develop conscious thoughts such as those possessed by human beings, and, as computing advances, such thinking will also advance until intelligence to surpass the human being, with which the advancement of AI represents ethical risks in the future. In reality, such a belief hides a cognitive assumption, which assumes that computational engineering explains human intelligence through the mind-computer metaphor. According to this assumption, technology explains cognition, and philoso

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3

Johnson, Jeffrey, Peter Denning, Andrew Odlyzko, et al. "Artificial Intelligence: Foundational Technologies of Artificial Intelligence." Ubiquity 2025, July (2025): 1–10. https://doi.org/10.1145/3747355.

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More than the 70 years since its emergence in the early 1950s, artificial intelligence (AI) is performing cognitive tasks traditionally considered the unique province of humans. This progress did not occur in a vacuum. AI emerged against a rich background of technologies from computer science and ideas about intelligence and learning from philosophy, psychology, logic, game theory, and cognitive science. We sketch out the enabling technologies for AI. They include search, reasoning, neural networks, natural language processing, signal processing and computer graphics, programming and conventio

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Makhamatov, T. M. "Philosophy of Artificial Intelligence." Humanities and Social Sciences. Bulletin of the Financial University 9, no. 4 (2019): 52–56. http://dx.doi.org/10.26794/2226-7867-2019-9-4-52-56.

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In the article, the author substantiates the thesis that the development of artificial intelligence technology is closely related not only to discoveries in the field of natural science, anthropology and medicine, but also achievements in the field of philosophy of knowledge and cognitive sciences. The author conducted a philosophico-epistemological analysis of the problems of improving the neural network as the core of modern artificial intelligence led to the conclusion that the principles of functioning of the neural network corresponding to such principles of the cognitive process discover

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Kuznetsov, O. P. "Cognitive semantics and artificial intelligence." Scientific and Technical Information Processing 40, no. 5 (2013): 269–76. http://dx.doi.org/10.3103/s0147688213050067.

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Joshi, HireshD, and SagarS Pawar. "COGNITIVE NEUROSYSTEM USING ARTIFICIAL INTELLIGENCE." International Journal of Advanced Research 5, no. 9 (2017): 1169–73. http://dx.doi.org/10.21474/ijar01/5435.

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KAYSER, DANIEL. "ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE." Applied Artificial Intelligence 5, no. 2 (1991): 153–62. http://dx.doi.org/10.1080/08839519108927922.

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8

Wang, Yingxu, Bernard Widrow, Lotfi A. Zadeh, et al. "Cognitive Intelligence." International Journal of Cognitive Informatics and Natural Intelligence 10, no. 4 (2016): 1–20. http://dx.doi.org/10.4018/ijcini.2016100101.

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The theme of IEEE ICCI*CC'16 on Cognitive Informatics (CI) and Cognitive Computing (CC) was on cognitive computers, big data cognition, and machine learning. CI and CC are a contemporary field not only for basic studies on the brain, computational intelligence theories, and denotational mathematics, but also for engineering applications in cognitive systems towards deep learning, deep thinking, and deep reasoning. This paper reports a set of position statements presented in the plenary panel (Part I) in IEEE ICCI*CC'16 at Stanford University. The summary is contributed by invited panelists who

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Alkhayyat, Ahmed, Firas Abedi, Ashish Bagwari, et al. "Fuzzy logic, genetic algorithms, and artificial neural networks applied to cognitive radio networks: A review." International Journal of Distributed Sensor Networks 18, no. 7 (2022): 155013292211135. http://dx.doi.org/10.1177/15501329221113508.

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Cognitive radios are expected to play an important role in capturing the constantly growing traffic interest on remote networks. To improve the usage of the radio range, a cognitive radio hub detects the weather, evaluates the open-air qualities, and then makes certain decisions and distributes the executives’ space assets. The cognitive radio works in tandem with artificial intelligence and artificial intelligence methodologies to provide a flexible and intelligent allocation for continuous production cycles. The purpose is to provide a single source of information in the form of a survey res

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Morandín-Ahuerma, Fabio. "What is Artificial Intelligence?" International Journal of Research Publication and Reviews 03, no. 12 (2022): 1947–51. http://dx.doi.org/10.55248/gengpi.2022.31261.

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Artificial intelligence (AI) is the ability of a machine or computer system to simulate and perform tasks that would normally require human intelligence, such as logical reasoning, learning, and problem solving. Artificial intelligence is based on the use of machine learning algorithms and technologies to give machines the ability to apply certain cognitive abilities and perform tasks on their own autonomously or semi-autonomously. Artificial intelligence is distinguished by its degree of cognitive capacity or by its degree of autonomy. By capacity it can be weak or limited, general or superla

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Mikhailov, Igor. "Natural Computations and Artificial Intelligence." Chelovek 33, no. 2 (2022): 65. http://dx.doi.org/10.31857/s023620070019511-9.

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The research program focused on the analysis of computational approaches to natural and artificial intelligence is one of four accepted for implementation at the Center for the Philosophy of Consciousness and Cognitive Sciences of the Institute of Philosophy, Russian Academy of Sciences. Presumably, it should become a direction of interdisciplinary research at the crossroad of philosophy, cognitive psychology, cognitive and social neuroscience, and artificial intelligence. The working hypothesis proposed for discussion attended by the relevant specialists is as follows: if an acceptable comput

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S, Suresh, and Sasidharan C |. "Artificial Intelligence." International Scientific Journal of Engineering and Management 04, no. 03 (2025): 1–7. https://doi.org/10.55041/isjem02419.

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Artificial Intelligence (AI) is a rapidly evolving field that aims to create systems capable of performing tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, perception, and language understanding. AI is categorized into narrow AI, which is designed for specific tasks like speech recognition and image processing, and general AI, which aspires to replicate human cognitive abilities across various domains. AI technologies, including machine learning, deep learning, and natural language processing, have significantly impacted industries such

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13

Shanmugaa Bharathi, SR. "Cognitive Psychology: A Solution to the Black Box Problemin Artificial Intelligence (AI) - Analysis with Respect to the Tamil Film ‘Enthiran’." Shanlax International Journal of Arts, Science and Humanities 12, S1-Apr (2025): 115–19. https://doi.org/10.34293/sijash.v12is1-apr.8955.

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Psychology is generally called the study of the human mind and has many aspects to it including the developments we undertake in technology with the aid of the subject. Artificial intelligenceis the representation of the human mind and we have created artificially intelligentrobots as an incarnation of the human mind that modern humans do not take the effort to use their minds for most of the work. Rightly so, they are called the counterpart of humans. Though artificially intelligent beings lack emotional intelligence that humans have, they are made with the maximum possibility to mutate and a

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Fedorets, V. M., O. V. Klochko, I. A. Tverdokhlib, and O. A. Sharyhin. "Cognitive aspects of interaction in the “Human — Artificial Intelligence” system." Journal of Physics: Conference Series 2871, no. 1 (2024): 012023. http://dx.doi.org/10.1088/1742-6596/2871/1/012023.

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Abstract The article, based on empirical and theoretical research, reveals the phenomenology of transformations of the human cognitive sphere when interacting with artificial intelligence. The analysis of the indicated changes in the cognitive sphere is carried out on the basis of the “Concept of cognitive multi-channel Human-Computer interaction” developed by us. The essence of this concept is that the interaction of the cognitive sphere of human and artificial intelligence is implemented on the basis of the actualization and formation of typical cognitive phenomena. These phenomena are consi

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Vijaya, K. "ROLE OF ARTIFICIAL INTELLIGENCE IN PSYCHOLOGY." SCHOLARLY RESEARCH JOURNAL FOR HUMANITY SCIENCE AND ENGLISH LANGUAGE 10, no. 53 (2022): 13476–86. http://dx.doi.org/10.21922/srjhsel.v10i53.11649.

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This Article entitles that, the role of Artificial Intelligence in psychology states that Psychology is the study of mental processes and behaviour of individuals. It is about artificial cognitive processes required for an artificially intelligent entity to be intelligent, learning, autonomous and self-developing. In psychology there are several specialties or focuses of study. In cognitive psychology, how the brain thinks and works. This includes learning, memory, perception, language and Logic. There is also developmental psychology that considers how an individual adapts and changes during

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Savin, Petre Sorin, Georgiana Rusu, Mihai Prelipcean, and Lucia Nicoleta Barbu. "Cognitive Shifts: Exploring the Impact of AI on Generation Z and Millennials." Proceedings of the International Conference on Business Excellence 18, no. 1 (2024): 223–32. http://dx.doi.org/10.2478/picbe-2024-0019.

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Abstract Our study focuses on exploring the cognitive changes that Artificial Intelligence has on two generational cohorts: Millennials and Generation Z. Artificial Intelligence has developed so much that it can intervene in solving problems, streamlining tasks, and providing information very fast. However, there might be a risk regarding this technology that could have a negative effect on critical thinking, decisionmaking, and memory. Through our research paper, we focused on discovering if Artificial Intelligence has an impact on the cognition of two generations: Millenials and Generation Z

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Hwang, Kai, Min Chen, Hamid Gharavi, and Victor C. M. Leung. "Artificial Intelligence for Cognitive Wireless Communications." IEEE Wireless Communications 26, no. 3 (2019): 10–11. http://dx.doi.org/10.1109/mwc.2019.8752476.

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18

Cowie, Roddy, and Gerry Mulhern. "Psychology, Artificial Intelligence, and Cognitive Science." Irish Journal of Psychology 14, no. 3 (1993): 309–13. http://dx.doi.org/10.1080/03033910.1993.10557935.

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19

Feng, Tao. "Cognitive Function of Artificial Intelligence Literature." IOP Conference Series: Materials Science and Engineering 573 (August 2, 2019): 012106. http://dx.doi.org/10.1088/1757-899x/573/1/012106.

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20

Arora, Anshu Saxena, and Amit Arora. "The Race Between Cognitive and Artificial Intelligence." International Journal of Intelligent Information Technologies 16, no. 1 (2020): 1–16. http://dx.doi.org/10.4018/ijiit.2020010101.

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Research on human-robot interaction (HRI) is growing; however, focus on the congruent socio-behavioral HRI research fields of social cognition, socio-behavioral intentions, and code of ethics is lacking. Humans possess an inherent ability of integrating perception, cognition, and action; while robots may have limitations as they may not recognize an object or a being, navigate a terrain, and/or comprehend written or verbal language and instructions. This HRI research focuses on issues and challenges for both humans and robots from social, behavioral, technical, and ethical perspectives. The hu

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21

Derevianko, Svitlana, Yulia Prymak, and Irіna Yushchenko. "ARTIFICIAL INTELLIGENCE AND EMOTIONAL ARTIFICIAL INTELLIGENCE AS PHENOMENA OF MODERN COGNITIVE PSYCHOLOGY." Scientific Notes of Ostroh Academy National University: Psychology Series 1 (June 25, 2020): 115–19. http://dx.doi.org/10.25264/2415-7384-2020-11-115-119.

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22

Sriwas, Miss Shruti. "The Mind Behind the Machine: How Artificial Intelligence Learns from Human Intelligence." International Journal of Research and Scientific Innovation XII, no. V (2025): 2022–24. https://doi.org/10.51244/ijrsi.2025.120500182.

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Artificial Intelligence (AI) has evolved rapidly, revolutionizing sectors ranging from healthcare to finance. However, its foundations are deeply inspired by human cognitive processes, particularly learning, perception, reasoning, and problem-solving. This review explores how AI systems emulate aspects of human intelligence and highlights the influence of neuroscience, psychology, and cognitive science on AI development. It examines key learning models such as neural networks, reinforcement learning, and symbolic AI, showing parallels with human cognition. The paper also reviews recent advance

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23

Gribkov, Andrei Armovich. "Non-subjective artificial intelligence in the system of subject-object relations." Философская мысль, no. 5 (May 2024): 11–21. http://dx.doi.org/10.25136/2409-8728.2024.5.70817.

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Expansion of functional capabilities of artificial intelligence systems actualizes the question of the possibility of their autonomous activity aimed at cognition and creation of the world. A significant factor determining the properties of artificial intelligence is its subjectiveness. If the world is deterministic, its subjectiveness is not necessary to ensure the functionality of artificial intelligence. Subjectiveness, however, is necessary for the initialization of cognitive or creative activity. A reasonable question arises regarding the ability of non-subjective artificial intelligence

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24

Kuk-Se Kim, Cheol-Seung Lee,. "Design of Cognitive Rehabilitation Training System using Artificial Intelligence." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 845–51. http://dx.doi.org/10.17762/ijritcc.v11i9.8975.

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This study is a study to design a cognitive(dementia) rehabilitation training system using the MMSE-DS protocol and the GDS protocol using artificial intelligence to analyze the user's cognitive ability and infer cognitive domain content correlation inference algorithms. For research on cognitive judgment technology using artificial intelligence, We provide an integrated cognitive rehabilitation service platform, provide customized training content by building a cognitive rehabilitation evaluation and training user data storage and analysis database, and design an algorithm to help improve use

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25

Zhou, Zhenhua. "Emotional thinking as the foundation of consciousness in artificial intelligence." Cultures of Science 4, no. 3 (2021): 112–23. http://dx.doi.org/10.1177/20966083211052651.

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Current theories of artificial intelligence (AI) generally exclude human emotions. The idea at the core of such theories could be described as ‘cognition is computing’; that is, that human psychological and symbolic representations and the operations involved in structuring such representations in human thinking and intelligence can be converted by AI into a series of cognitive symbolic representations and calculations in a manner that simulates human intelligence. However, after decades of development, the cognitive computing doctrine has encountered many difficulties, both in theory and in p

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Qadir, Junaid. "Artificial intelligence based cognitive routing for cognitive radio networks." Artificial Intelligence Review 45, no. 1 (2015): 25–96. http://dx.doi.org/10.1007/s10462-015-9438-6.

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27

Karamysheva, N. S., V. S. Aleksandrov, I. A. Kiryutkin, and S. A. Zinkin. "Cognitive peering infrastructure for the organization teamwork on projects based on agile methodology." Proceedings of the Southwest State University 28, no. 3 (2024): 131–63. https://doi.org/10.21869/2223-1560-2024-28-3-131-163.

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Purpose of research. The goal of the work is to develop and justify a cognitive peer-to-peer infrastructure that will improve the conditions for collective work on projects based on agile methodology. Cognitive architecture is defined as a structure that ensures the implementation of anthropomorphic and neuromorphic functions in natural or artificial systems. The proposed approach is based on organizing the interaction of the collective intelligence of members of an agile team and artificial intelligence, represented by trained artificial neural networks. When forming an agile team, it is prop

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Cheol-Seung, Lee, and Kim Kuk-Se. "Design of Interactive Artificial Intelligence for Early Cognitive Diagnosis." International Journal on Advanced Science, Engineering and Information Technology 14, no. 5 (2024): 1633–38. http://dx.doi.org/10.18517/ijaseit.14.5.20449.

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Due to the aging population in South Korea, the proportion of elderly people aged 65 and over is expected to increase from 14.9% in 2019 to 46.5% by 2067. The number of elderly people per 100 working-age population (15-64 years old) is also anticipated to rise to 102.4 by 2067. Population aging is recognized as a social issue, leading to problems such as increased chronic diseases, higher levels of elderly isolation, and insufficient medical infrastructure. To solve the problem of cognitive decline, such as dementia due to the aging of the population, research is actively being conducted in va

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Özsoy, Damla, and Ozan Karataş. "Examining the relationship between cognitive flexibility and attitudes towards artificial intelligence technologies among students studying sports sciences." Journal of ROL Sport Sciences Special Issue, no. 1 (2023): 109–27. https://doi.org/10.5281/zenodo.10022452.

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Attitudes towards cognitive flexibility and artificial intelligence technologies may be an indicator of how much educators working in the field of sports can improve sports performance by revealing their potential to use these technologies effectively. This study aimed to examine the relationship between the attitudes of students studying in the field of sports sciences towards artificial intelligence and their cognitive flexibility. Additionally, cognitive flexibility and attitudes towards artificial intelligence technologies were examined by focusing on socio-demographic variables. Descripti

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Evgeniy Bryndin. "Formation of Technological Cognitive Reason with Artificial Intelligence in Virtual Space." Britain International of Exact Sciences (BIoEx) Journal 2, no. 2 (2020): 450–61. http://dx.doi.org/10.33258/bioex.v2i2.222.

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Reason is the basis of our knowledge. It characterizes the mindfulness of thought activity, the ability to think universally, the ability to analyze, abstract, and generalize. Thanks to reason, computers, information technology, artificial intelligence, digital twins, cognitive robots have emerged. Using advances in science and technology, the international scientific and engineering community is trying to create an information technology mind. At the current stage of development of information technologies, cognitive robotics, digital twins and artificial intelligence systems, their synergy a

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Bendell, Rhyse, Jessica Williams, Stephen M. Fiore, and Florian Jentsch. "Supporting Social Interactions In Human-Ai Teams: Profiling Human Teammates From Sparse Data." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, no. 1 (2021): 665–69. http://dx.doi.org/10.1177/1071181321651354b.

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Artificial intelligence has been developed to perform all manner of tasks but has not gained capabilities to support social cognition. We suggest that teams comprised of both humans and artificially intelligent agents cannot achieve optimal team performance unless all teammates have the capacity to employ social-cognitive mechanisms. These form the foundation for generating inferences about their counterparts and enable execution of informed, appropriate behaviors. Social intelligence and its utilization are known to be vital components of human-human teaming processes due to their importance

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Jackson, Andrew Srivathsan. "Cognitive BI and Decision Making." Cognitive BI and Decision Making 5, no. 4 (2025): 512–19. https://doi.org/10.48175/IJARSCT-25167.

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Abstract: Artificial Intelligence (AI) transforms business operations by changing how organizations handle data as well as extract insights and execute decision-making processes. The traditional role of Business Intelligence tools as main KPI monitoring interfaces for management response has started to fade away in present times. The traditional method of business operation is quickly losing its validity. The human ability to understand Business Intelligence data is diminishing because artificial intelligence systems now operate autonomously for analysis and action. The current form of Busines

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S. Kalaivani, D. Nasreen Banu, I. Parvin Begum, and Jeevitha Sivasamy. "Cognitive Robotics: Integrating Artificial Intelligence and Embodied Intelligence for Advanced Problem Solving." December 2023 5, no. 4 (2023): 462–80. http://dx.doi.org/10.36548/jaicn.2023.4.002.

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Artificial intelligence (AI) and embodied intelligence are combined in cognitive robotics, which marks a paradigm change in highly developed problem-solving skills. This study offers a comprehensive review of the theoretical underpinnings, practical difficulties, practical applications, and moral implications of cognitive robots. The study explores machine learning methods, natural language processing tools, and computer vision technologies after introducing the fundamental concepts. It clarifies embodied intelligence further by emphasizing the important roles that sensory data fusion, robotic

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Sangaiah, Arun Kumar, Huimin Lu, and Qing Hu. "Cognitive Science and Artificial Intelligence for Human Cognition and Communication." IEEE Consumer Electronics Magazine 9, no. 1 (2020): 72–73. http://dx.doi.org/10.1109/mce.2019.2940845.

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Khrapov, Sergey A., Tinatin D. Lopatinskaya, and Alexey M. Kashkarov. "ARTIFICIAL INTELLIGENCE AS COGNITIVE AND SOCIOCULTURAL PHENOMENON." TURKISH ONLINE JOURNAL OF DESIGN ART AND COMMUNICATION 8 (March 1, 2018): 107–11. http://dx.doi.org/10.7456/1080mse/014.

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36

No authorship indicated. "Review of Artificial Intelligence and Cognitive Sciences." Contemporary Psychology: A Journal of Reviews 35, no. 7 (1990): 729. http://dx.doi.org/10.1037/028875.

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Brem, Alexander, and Giorgia Rivieccio. "Artificial Intelligence and Cognitive Biases: A Viewpoint." Journal of Innovation Economics & Management N° 44, no. 2 (2024): 223–31. http://dx.doi.org/10.3917/jie.044.0223.

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Memmi, Daniel. "Connectionism and artificial intelligence as cognitive models." AI & Society 4, no. 2 (1990): 115–36. http://dx.doi.org/10.1007/bf01889639.

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Igel, Christian. "Learning ∈ Artificial Intelligence ∩ Cognitive Technologies ∩ Neural Computation ∩ …" KI - Künstliche Intelligenz 26, no. 3 (2012): 209–12. http://dx.doi.org/10.1007/s13218-012-0205-4.

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Sumari, A. D. W., A. Setiawan, and I. N. Syamsiana. "Cognitive artificial intelligence application to cyber defense." IOP Conference Series: Materials Science and Engineering 732 (January 27, 2020): 012037. http://dx.doi.org/10.1088/1757-899x/732/1/012037.

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Orike, Sunny, Winner Minah-Eeba, and Nkechinyere Eyidia. "Harvesting cognitive radio networks using artificial intelligence." BOHR Journal of Computational Intelligence and Communication Network 2, no. 1 (2024): 11–17. http://dx.doi.org/10.54646/bjcicn.2024.13.

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The utilization of Artificial Intelligence (AI) in leveraging Cognitive Radio Networks (CRNs) represents an emerging field of study. This surge is primarily driven by operational expenses, concerns over traditional power sources, and limitations inherent in current CRN technologies. Furthermore, integrating AI into CRN operations significantly enhances efficiency and maximizes the application of the electromagnetic spectrum. To enable real-time processing, Cognitive Radio (CR) is paired with AI methodologies, fostering adaptive and intelligent resource allocation. This research paper outlines

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P, Suraj, Pranav H M, Prathiksha P Shetty, and Suhas B E. "Artificial Intelligence (AI) Enhanced Cognitive Mobile Computing." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43702.

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The rise of mobile devices and enhanced by the development in Artificial Intelligence (AI) these power-ups have translated into humongous improvements on how people interact with applications. In this paper we explore the incorporation of cognitive computing approaches for creating mobile specific predictive interaction models. Powered by AI, these models seek to predict user activity, interests and demands for the most human like experience in mobile applications. Here, we present an all-inclusive methodology to collect data from mobile sensors design the model with machine learning algorithm

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Nikuyko, Е. А., М. N. Myznikova, V. М. Lapshakov, and R. М. Gazizullin. "ARTIFICIAL INTELLIGENCE – DIGITAL TECHNOLOGIES AND COGNITIVE FUNCTIONS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 251 (May 2025): 24–33. https://doi.org/10.14489/vkit.2025.05.pp.024-033.

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is that use the latest achievements of human science in the field of integrating cognitive functions into digital technologies. Modern achievements of domestic and foreign researchers in the fields of neurobiology and information technology are presented. The basic elements of artificial neural networks are described in detail. The key limitations of existing models of artificial neural networks are analyzed, such as narrow specialization, lack of sustainable opportunities for implementing the mechanism of emotionality, insufficient flexibility and adaptability to changes in the conditions of

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Eman, Almuhur. "Artificial Intelligence in Mathematics." ISRG Journal of Multidisciplinary Studies (ISRGJMS) II, no. IX (2024): 9–12. https://doi.org/10.5281/zenodo.13673839.

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<strong>Abstract</strong> <em>A significant area of technology that is developing quickly and changing how we interact with computers and systems daily is artificial intelligence (AI). Deep mathematical understanding is required in this discipline to create models and algorithms that let computers carry out challenging cognitive tasks. This paper will examine several topics related to the use of mathematics in artificial intelligence and illustrates the relevance and use of mathematics in artificial intelligence. The fundamental mathematical ideas, such as linear algebra, probability, and stat

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M., N. O. Sadiku, R. Nelatury S., and Musa S.M. "Artificial Intelligence in Industry." Journal of Scientific and Engineering Research 8, no. 2 (2021): 45–52. https://doi.org/10.5281/zenodo.10574946.

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<strong>Abstract </strong>Artificial intelligence (AI) refers to computer systems that mimic human cognitive functions. AI-driven systems can discover trends, reveal inefficiencies, and predict future outcomes.  These characteristics enable informed decision-making and AI to be potentially beneficial for many industries. Industrial AI deals with the application of AI technologies to address industrial issues such customer value creation, productivity improvement, cost reduction, site optimization, predictive analysis, and insight discovery.  This paper provides different applications

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van der Velde, Frank. "Where Artificial Intelligence and Neuroscience Meet: The Search for Grounded Architectures of Cognition." Advances in Artificial Intelligence 2010 (March 2, 2010): 1–18. http://dx.doi.org/10.1155/2010/918062.

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The collaboration between artificial intelligence and neuroscience can produce an understanding of the mechanisms in the brain that generate human cognition. This article reviews multidisciplinary research lines that could achieve this understanding. Artificial intelligence has an important role to play in research, because artificial intelligence focuses on the mechanisms that generate intelligence and cognition. Artificial intelligence can also benefit from studying the neural mechanisms of cognition, because this research can reveal important information about the nature of intelligence and

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47

Loker, Thomas W. "The illusion of intrinsic meaning: reassessing conscious experience." Journal of Multiscale Neuroscience 3, no. 4 (2024): 247–63. https://doi.org/10.56280/2653-4983/1658577523.

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The illusion of intrinsic meaning in predictive coding through cognitive artifacts to minimize prediction errors points toward a functionalist attempt at understanding conscious experience. It examines how conscious experience serves functional roles in predictive coding and symbolic cognition systems within the brain. By addressing recent developments in diverse fields like cognitive neuroscience, philosophy, and artificial intelligence, we argue that conscious experience emerges from the need to construct coherent narratives for survival and decision-making. Additionally, the paper explores

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Loker, Thomas W. "The illusion of intrinsic meaning: reassessing conscious experience." Journal of Multiscale Neuroscience 3, no. 4 (2024): 247–63. https://doi.org/10.56280/1658738928.

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The illusion of intrinsic meaning in predictive coding through cognitive artifacts to minimize prediction errors points toward a functionalist attempt at understanding conscious experience. It examines how conscious experience serves functional roles in predictive coding and symbolic cognition systems within the brain. By addressing recent developments in diverse fields like cognitive neuroscience, philosophy, and artificial intelligence, we argue that conscious experience emerges from the need to construct coherent narratives for survival and decision-making. Additionally, the paper explores

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TAISINA, Emilia. "ARTIFICIAL INTELLIGENCE AS ARTIFICIAL DEMENTIA." Economy Governance and Lave Basis, no. 3(42) (September 30, 2024): 7–12. https://doi.org/10.51608/23058641_2024_3_7.

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The death of the Queen of Great Britain was announced by media on September 8, 2022. Elizabeth II deceased at the age of 96 in her beloved castle in Scotland. More than 70 years of reign made her the longest-reigning and oldest head of state in the world. If a user interested in the life of the Queen spends several hours or days requesting relevant information, s/he is guaranteed a desegmented “filter bubble”. Artificial intelligence, tracking the topics of requests, will narrow the range of issues provided to the limit, thereby cutting off information that is more pressing, large-scale or div

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Galustyan, O. A., and A. G. Solomatina. "Artificial Intelligence in the Future Law Enforcement Officers Training System." Intellectual property law 2 (July 1, 2021): 41–44. http://dx.doi.org/10.18572/2072-4322-2021-2-41-44.

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In this article, taking into account the latest scientific achievements in the development of artificial neural networks, the problem concerning the process of obtaining knowledge by future law enforcement officers in the context of the transition to other previously unknown methods and forms of artificial intelligence implementation, including in the educational process, is identified. Based on the analysis of the epistemological essence of knowledge and asking questions: how and what should be taught to future lawyers, what knowledge and skills they will need in the future, the authors offer

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