Consensus Question
What is Expected Information Gain?
Expected Information Gain is the anticipated reduction of uncertainty from a chosen observation inside a known decision or model space.
Short answer
Expected Information Gain is the anticipated reduction of uncertainty from a chosen observation inside a known decision or model space.
Why it matters
It is powerful when the alternatives and uncertainties are already defined. It helps choose the next observation or experiment rationally.
Its boundary becomes visible when the next valuable move is not inside the known space, but changes the space itself.
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