Hebbian learning originates from the fields of artificial intelligence, Industry and Factory 4.0 and digitalisation. It describes a basic learning rule that enables computers and machines to learn in a similar way to the human brain.
The principle is simple: connections between artificial "neurons" are always strengthened when two neurons are active at the same time. Imagine you hear a horn every time you see a certain light. After repeating this several times, you "memorise" the connection between the light and the horn. Hebbian learning works in the same way with machines: If a certain stimulus (e.g. image or sound recognition) is linked to a certain result often enough, the connection between these data points becomes stronger.
In practice, Hebbian Learning is used in industry, for example, to train machines more flexibly for repetitive patterns or errors. This enables a production system to independently discover which processes frequently occur together - and optimise its processes accordingly.
Hebbian learning enables artificial intelligence to recognise patterns more efficiently and helps to continuously improve production processes or intelligent systems.
Deutsch 
English (UK)