What is the state of the art in models of how the human brain performs goal-directed decision making? Can these models’ principles and insights be applied to the field of Artificial Intelligence, e.g. to develop more robust and general AI algorithms?


According to a famous misconception, the human brain works with neurons and glial cells. Both a forming a biological computer. That theory is wrong, it is not the way humans think. What we see in reality is, that humans are learning from the environment, that means decision making processes are located outside of the brain in social games. For example, football doesn't work with a neural networks it works with players on the green lawn and reading a book works with a language defined in another book.

Instead of searching models from the human brain which have to be transferred to an AI, we must search for models in the human society which can be transferred to an agent-society in the computer. Decision making is a process which works in-between individuals on a sociology level. Keywords for further literature search are “norm internalisation, pedagogical agent and society of mind”.

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  • $\begingroup$ The decision-making occurring on a sociology level still depends on having complex human brains in the first place. Just try to make a bunch of monkeys cooperate to build the Empire State Building. You also talk about learning from the environment: how can a society learn from an environment without complex brains performing the actual learning in the first place? $\endgroup$ – xwb Jun 12 '18 at 19:10

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