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Open Access
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Tarkikkumar Zaverbhai Kevadiya, Hirenkumar Kamleshbhai Mistry, Amit Mahendragiri Goswami
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- Professor, Student, Student, Master of Electrical Engineering, Government Engineering College (GEC), Bhavnagar, Master of Science in cybersecurity, Master of Science in Computer information systems, Gujarat, Phoenix, Anaheim, India, United States, United States
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Abstract
nThe complicated connection between cybernetics and AI is investigated in detail in this study paper. The focus was on the cybernetic basis of AI, specifically the part that control systems and feedback loops play. Norbert Wiener was one of the founders of cybernetics, which is important for understanding how machines and animals direct and talk to each other. It explains the basic ideas that have led to the progress in AI, from the first rule-based systems to more recent learning methods. Case studies show how cybernetic ideas work in real life, like in self-driving cars and smart climate control systems. These are used to look at how these ideas could be used in different AI systems. This research talks about the moral and useful problems that come up when you mix cybernetics and artificial intelligence. Some of these problems are that it’s hard to understand and predict what AI systems will do, and it’s also hard to control how they make decisions and store data. In the future, the article makes guesses about possible AI breakthroughs that will be affected by cybernetics. This article talks about some ideas for how AI and neuro technology could be used together to create smart, flexible learning tools. This essay talks about the cybernetic method and how important it is to the growth of AI, especially when it comes to making AI systems that are flexible, moral, and focused on people. The areas of cybernetics and artificial intelligence work together to make sure that new technologies can be used in a way that is ethical and socially acceptable.
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Keywords: Cybernetics, Adaptive Learning, Artificial Intelligence, Future AI Developments, Control Systems, Feedback Loops
n[if 424 equals=”Regular Issue”][This article belongs to Journal Of Network security(jons)]
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References
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1. Flogie,A. and Aberšek,B., 2022.Artificialintelligence in education. Active Learning-Theory and Practice.
2. Zegzhda,D.,Lavrova,D.,Pavlenko,E.andShtyrkina,A.,2020.Cyberattackpreventionbased on evolutionary cybernetics approach. Symmetry, 12(11),p.1931.
3. Losbichler, H. and Lehner, O.M., 2021.Limits of artificial intelligence in controlling and the ways forward: a call for future accounting research. Journal of Applied Accounting Research, 22(2),pp.365-382.
4. Angulo, C., Chacón, A. and Ponsa, P.,2022. Towards a cognitive assistant supporting human operators in the Artificial Intelligence of Things. Internet of Things, p.100673.
5. Fischer, T. and Herr, C.M., 2019. Design Cybernetics. Cham: Springer International Publishing.
6. Mühlhoff, R., 2020. Human-aided artificial intelligence: Or, how to run large computations in human brains? Toward a media sociology of machine learning. new media & society, 22(10),pp.1868-1884.
7. Dobbe, R., Gilbert, T.K. and Mintz, Y.,2021.Hard choices in artificial intelligence. Artificial Intelligence, 300,p.103555.
8. Kahn,K.andWinters,N.,2021.ConstructionismandAI:Ahistoryand possible futures. BritishJournalofEducationalTechnology, 52(3),pp.1130-1142.
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29(3),pp.367-387.
10. Wiener N. Cybernetics. Bulletin of the American Academy of Arts and Sciences. 1950 Apr 1;3(7):2-4.
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| Volume | 12 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | February 22, 2024 | |
| Accepted | March 2, 2024 | |
| Published | April 4, 2024 |
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