1903: Konrad Lorenz is born

On 7 November 1903, Konrad Lorenz was born in Vienna. He would become a founder of ethology, the biological study of animal behaviour, and one of the twentieth century’s most careful observers of instinct, learning and the building blocks of mind.

Working with greylag geese, jackdaws and fish, Lorenz documented imprinting—the rapid, largely irreversible attachment formed during a critical early window—and described fixed action patterns: stereotyped sequences released by simple sign stimuli. These discoveries showed that adaptive, seemingly intelligent behaviour often rests on innate structures finely calibrated by experience rather than on general-purpose reasoning alone.

The ideas travelled quickly into the emerging sciences of control and cognition. Cyberneticians such as Norbert Wiener and roboticists such as W. Grey Walter read Lorenz with interest; Walter’s electromechanical “tortoises” of the late 1940s were explicit attempts to embody releasing mechanisms and simple appetitive behaviours. Decades later, Rodney Brooks’s subsumption architecture and the wider programme of behaviour-based robotics returned to the same insight: layered, mostly automatic responses to a rich environment can generate robust competence without a central symbolic planner. Ethological thinking also nourished ecological psychology and embodied cognitive science, both of which remain reference points for researchers who doubt that intelligence is pure disembodied computation.

Lorenz’s insistence on watching real animals in complex settings continues to echo in laboratories today. Developmental robotics studies critical periods for sensorimotor and linguistic skill. Reinforcement-learning agents acquire policies that resemble fixed action patterns. Swarm systems and bio-inspired robots draw directly on animal locomotion, navigation and social coordination. Even large-scale language and vision models raise ethological questions: how much of their performance is sophisticated statistical imprinting on human data, and what innate or architectural biases shape what they can learn?

By demonstrating that the behaviour of a gosling could illuminate the organisation of mind, Lorenz helped open a path that still runs from the farmyard pond to the training runs of contemporary artificial intelligence.