Bayesian Belief Update

One of the leading models of how we learn is based on the groundbreaking work of Karl Friston, an important contributor to the development of modern neuroscience.

It was with his algorithms of statistical parametric mapping that we began to unlock the potential of using fMRIs to see the mind in the act of thinking. This ability has completely transformed how we understand the brain – leading to a deeper appreciation of the mind's Hidden Potential.

Friston developed a process theory called Active Inference to explain how humans learn, indeed how all living systems learn.

In any learning process, an action is made based on a set of assumptions developed by past experience. When there is an unexpected experience, a 'surprise', order is disrupted and must be quickly restored.

To reestablish order, small, continuous experiments are used, until there is a moment that a new understanding – a new order – is established, what he calls a 'Bayesian belief update'.

This theory appears to closely align with Piaget's theories of learning and we suspect that these updates are experienced as Eureka Moments.