From what I can tell from skimming Tononi's papers 'integrated information' means the relative entropy between the full joint distribution (of variables/nodes o

From what I can tell from skimming Tononi's papers 'integrated information' means the relative entropy between the full joint distribution (of variables/nodes of a network) and the distribution that results when you cut the network into particular partition, and assume that each of the resulting subsets is independent of the others. The unsatisfying part of this (for me) is that so far as I can see, by this definition, lots of pieces of software and signals processing stuff should have some measure of 'consciousness'.