Cybernetics
At the heart of the turbulence of World War II, while the great powers mobilized their scientists, a new science was born: cybernetics. This discipline, which could be described as transdisciplinary, emerged through the work of Norbert Wiener, a mathematician at MIT.
In 1940, facing the threat of German bombers, Wiener tackled an exceptionally complex technical problem: how to shoot down aircraft flying at 600km/h at dizzying altitudes? Through a trajectory predictor called the “AA predictor,” designed in collaboration with Julian Bigelow.
Wiener’s brilliant insight was to consider the pilot-aircraft ensemble as a single system whose behaviors obeyed certain predictable statistical laws. This approach broke radically with the traditional mechanistic view. To implement this idea, Wiener drew upon three emerging technologies: radar, servomechanisms, and analog computers.
But Wiener’s contribution extended far beyond the initial military context. From this work emerged a fundamental reflection on control and communication mechanisms, both in artificial and natural systems. The term “cybernetics,” from the Greek kubernêtikê (art of steering), was chosen to convey this unifying vision.
At the core of cybernetic thought lie several foundational concepts: feedback, information as a measurable quantity, and self-regulating systems. Wiener postulated that a cybernetic system, whether living or artificial, must necessarily possess an internal model of its environment to interact effectively with it. This model guides the extraction of relevant information through sensors, their processing according to internal rules, then action on the environment through effectors, all in an uninterrupted loop.
The publication of Cybernetics: Or Control and Communication in the Animal and the Machine in 1948 marked the official advent of this discipline. The work generated immediate enthusiasm in international scientific circles, as evidenced by its simultaneous publication in the United States and in France by Hermann.
Cybernetics, however, experienced divergent destinies across countries. In the United States, under the aegis of MIT and researchers like Jay Forrester, it became firmly rooted in engineering sciences, giving birth to concrete applications such as the SAGE air defense system. In France, it took more the form of theoretical and philosophical reflection, sometimes at the expense of its practical applications.
The famous Macy Conferences, held between 1946 and 1953, played a decisive role in the expansion of this discipline. These extraordinary gatherings brought together brilliant minds from diverse backgrounds: mathematicians, engineers, neurologists, psychologists, and anthropologists mingled to explore the multiple ramifications of cybernetic thought.
The postwar period saw Wiener distance himself from military research, horrified by the destruction at Hiroshima and Nagasaki. He directed his work toward civilian and medical applications, seeing in cybernetics a tool to combat social entropy.
Modern computing bears the indelible mark of this thinking. The concepts of feedback, information processing, and modeling of complex systems now constitute the conceptual foundation of our digital systems. The attention Wiener paid to human-machine interfaces finds a striking echo in our current concerns.
Cybernetics nourished several adjacent fields: information theory developed by Claude Shannon, game theory formalized by John von Neumann, and the first reflections on artificial intelligence. These parallel currents progressively built the theoretical edifice upon which 21st-century computing rests.
In the 1960s-1970s, the limitations of cybernetics became apparent. Its claim to provide a universal explanatory framework came up against the irreducible complexity of many natural and social phenomena. Its totalizing ambitions were scaled back, but its fundamental concepts retained their relevance for understanding information and control systems.
In our information-saturated digital world, where complex systems interlock with one another, Wiener’s insights retain remarkable freshness. While its field of application has become more precise since then, his vision of a science of control and communication has lost none of its explanatory power. The principles he identified continue to illuminate our understanding of computer systems and their interaction with human users, in an incessant dialogue between human and machine that he had foreseen as early as the 1940s.