How Ideas Learn from Each Other express
The human mind is like a construction set that builds itself. New ideas don't die with their creators: they are passed on, mixed, and selected. This process is called cultural evolution: useful inventions stick, useless ones are forgotten. That's how a ratchet works — a mechanism that only turns forward.
But what exactly happens in the head when one thought displaces another? The authors of the study hypothesized that it's all about tuning the connections between neurons — much like how artificial neural networks learn. They created a population of virtual agents with simple neural networks inside. Each agent received a mixture of hidden "root causes" as input, as if hearing several voices at once, and tried to separate them by adjusting connection weights.
Then the agents were allowed to communicate. But not randomly — selectively: they could pass on only their most successful guesses about the hidden causes. This mode was called "Light." On their own, many agents failed at the task, but in a group with such exchange, they began to find increasingly accurate solutions. One improvement latched onto another — the ratchet started turning.
The model is deliberately simple. It has no language, no abstract thinking — only neurons and signals. But it's precisely this transparency that reveals a mechanism that previously stayed in the shadows: how raw guesses turn into shared knowledge.
Hebb's rule, used in the model, is often summarized as: "Neurons that fire together wire together." It was proposed by psychologist Donald Hebb in 1949, long before powerful computers existed.