If it quacks like a duck and walks like a duck, its probably a ———–?
Abstract
This note suggests that the Turing Machine analogy can be a valuable conceptual tool for understanding FRAM functions as active, dynamic entities within complex systems. However, its limitations, particularly regarding human variability and adaptability, caution against over-reliance on formalism. By integrating insights from cognitive systems engineering, the analogy can be expanded to better address the dual nature of socio-technical systems—leveraging both human adaptability and machine precision.
This dual perspective ensures that FRAM remains a robust framework for designing systems that are not only deterministic but also resilient, capable of navigating the unpredictability of real-world interactions.
A Turing Machine
is a theoretical model of computation invented by Alan Turing in 1936. (1) It serves as a fundamental concept in computer science and mathematics for understanding what can be computed and how computation works. While it is a simplified abstraction, it has proven to be incredibly powerful and forms the basis for modern computing theory.