Our logic reflects the architecture of our brains. For example: if a then b, if b then c, therefore if a then c. That makes sense to us because of the structure of our neural network. If our network were built differently then our logic would be different, just like a lot of euclidean geometry doesn't work in a curved world. Wouldn't it be a good idea then to develop artificial brains with a different architecture? In a way, that is what big data intelligence achieves: insights not provided by a few stimuli, but by statistical inferences from millions of data points.