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

Abstract

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.

Keywords

• Artificial intelligence
• intelligent systems
• RLC
• analogy

Thanks

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

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