👉 Klein computing, introduced by Stephen Klein in the 1960s, is a theoretical framework that redefines computation as a process of information manipulation rather than mere symbol manipulation. It posits that any computational task can be achieved through the systematic transformation of information, using operations like copying, moving, and combining data. This perspective challenges traditional views by emphasizing that computation is fundamentally about information flow and structure, not just the manipulation of abstract symbols. Klein's model laid the groundwork for understanding computation in terms of automata and formal languages, influencing areas like theoretical computer science, complexity theory, and the development of modern programming paradigms. By abstracting computation to its informational core, Klein computing offers a more flexible and universal framework for analyzing algorithms and computational limits.
