Araştırma Makalesi

Re-Exploring Intelligent Systems: Reasoning, Learning, and Control Through the Lens of RLC Circuits

Cilt: 1 Sayı: 1 20 Temmuz 2024
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Re-Exploring Intelligent Systems: Reasoning, Learning, and Control Through the Lens of RLC Circuits

Öz

This paper explores the realm of intelligent systems through an analogy inspired by RLC circuits, delving into the interconnected dynamics of reasoning, learning, and control. Leveraging the simplicity and clarity of the analogy, we navigate the conceptual landscape, drawing parallels between electrical components and the cognitive functions of modern AI. The presented analogical framework is the conclusion of the personal experiences of the author in developing intelligent systems, sparked by conversations with fellow researchers and students and presentations of research outcomes. It is worth recognizing the limitations of this analogy, as its reductionist nature may oversimplify the complexities inherent in intelligent systems. However, this exploration provides a fresh perspective on the foundational components of intelligent systems through the lens of the well-established RLC circuit theory.

Anahtar Kelimeler

Teşekkür

The author acknowledges the insightful discussions and conceptual refinement achieved through interactions with ChatGPT 3.5 and Microsoft Co-pilot.

Kaynakça

  1. I. Goodfellow, Y. Bengio, and A. Courville, Deep learning. MIT press, 2016.
  2. Q. Zhang, L. T. Yang, Z. Chen, and P. Li, “A survey on deep learning for big data,” Information Fusion, vol. 42, pp. 146–157, 2018.
  3. G. Mialon, R. Dessı, M. Lomeli, et al., “Augmented language models: A survey,” arXiv preprint arXiv:2302.07842, 2023.
  4. L. Floridi and M. Chiriatti, “Gpt-3: Its nature, scope, limits, and consequences,” Minds and Machines, vol. 30, pp. 681–694, 2020.
  5. H. Hagras, “Towards true explainable artificial intelligence for real world applications,” 2023.
  6. W. Samek and K.-R. Müller, “Towards explainable artificial intelligence,” Explainable AI: interpreting, explaining and visualizing deep learning, pp. 5–22,2019.
  7. R. Goebel, A. Chander, K. Holzinger, et al., “Explainable ai: The new 42?” In Machine Learning and Knowledge Extraction, Springer, 2018, pp. 295–303.
  8. S. J. Russell and P. Norvig, Artificial intelligence a modern approach. London, 2010.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Akıllı Robotik, Yapay Zeka (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

20 Temmuz 2024

Gönderilme Tarihi

20 Aralık 2023

Kabul Tarihi

25 Mart 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 1 Sayı: 1

Kaynak Göster

APA
Kumbasar, T. (2024). Re-Exploring Intelligent Systems: Reasoning, Learning, and Control Through the Lens of RLC Circuits. ITU Computer Science AI and Robotics, 1(1), 1-5. https://izlik.org/JA58YR87NM
AMA
1.Kumbasar T. Re-Exploring Intelligent Systems: Reasoning, Learning, and Control Through the Lens of RLC Circuits. ITU Computer Science AI and Robotics. 2024;1(1):1-5. https://izlik.org/JA58YR87NM
Chicago
Kumbasar, Tufan. 2024. “Re-Exploring Intelligent Systems: Reasoning, Learning, and Control Through the Lens of RLC Circuits”. ITU Computer Science AI and Robotics 1 (1): 1-5. https://izlik.org/JA58YR87NM.
EndNote
Kumbasar T (01 Temmuz 2024) Re-Exploring Intelligent Systems: Reasoning, Learning, and Control Through the Lens of RLC Circuits. ITU Computer Science AI and Robotics 1 1 1–5.
IEEE
[1]T. Kumbasar, “Re-Exploring Intelligent Systems: Reasoning, Learning, and Control Through the Lens of RLC Circuits”, ITU Computer Science AI and Robotics, c. 1, sy 1, ss. 1–5, Tem. 2024, [çevrimiçi]. Erişim adresi: https://izlik.org/JA58YR87NM
ISNAD
Kumbasar, Tufan. “Re-Exploring Intelligent Systems: Reasoning, Learning, and Control Through the Lens of RLC Circuits”. ITU Computer Science AI and Robotics 1/1 (01 Temmuz 2024): 1-5. https://izlik.org/JA58YR87NM.
JAMA
1.Kumbasar T. Re-Exploring Intelligent Systems: Reasoning, Learning, and Control Through the Lens of RLC Circuits. ITU Computer Science AI and Robotics. 2024;1:1–5.
MLA
Kumbasar, Tufan. “Re-Exploring Intelligent Systems: Reasoning, Learning, and Control Through the Lens of RLC Circuits”. ITU Computer Science AI and Robotics, c. 1, sy 1, Temmuz 2024, ss. 1-5, https://izlik.org/JA58YR87NM.
Vancouver
1.Tufan Kumbasar. Re-Exploring Intelligent Systems: Reasoning, Learning, and Control Through the Lens of RLC Circuits. ITU Computer Science AI and Robotics [Internet]. 01 Temmuz 2024;1(1):1-5. Erişim adresi: https://izlik.org/JA58YR87NM