What AI can learn from Tube passengers - BBC News

They find that we split the task into a hierarchy of different jobs, with different elements apparently handled in different parts of the brain. Particular parts of the cortex, for example, show greater activity if extra line changes are required; other regions simply become more excited as the overall goal inches closer. It arises from a collaboration between Oxford University, University College London and Google's artificial intelligence firm DeepMind. AI researchers are keen to learn from the brain's ability to plan a complex task by grouping together various actions and outcomes. This type of strategy is much more efficient than rattling through all the possible ramifications of each individual step - such as a simple computer program might do.