Venn diagram of information theoretic measures for three variables x, y, and z, represented by the lower left, lower right, and upper circles, respectively. The interaction information is represented by gray region, and it is the only one that can be negative.
The interaction information is a generalization of the mutual information for more than two variables.
There are many names for interaction information, including amount of information,[1]information correlation,[2]co-information,[3] and simply mutual information.[4] Interaction information expresses the amount of information (redundancy or synergy) bound up in a set of variables, beyond that which is present in any subset of those variables. Unlike the mutual information, the interaction information can be either positive or negative. These functions, their negativity and minima have a direct interpretation in algebraic topology.[5]
^Ting, Hu Kuo (January 1962). "On the Amount of Information". Theory of Probability & Its Applications. 7 (4): 439–447. doi:10.1137/1107041. ISSN 0040-585X.
^Wolf, David (May 1, 1996). The Generalization of Mutual Information as the Information between a Set of Variables: The Information Correlation Function Hierarchy and the Information Structure of Multi-Agent Systems (Technical report). NASA Ames Research Center.
^Bell, Anthony (2003). The co-information lattice. 4th Int. Symp. Independent Component Analysis and Blind Source Separation.
^Cite error: The named reference :1 was invoked but never defined (see the help page).
^Baudot, Pierre; Bennequin, Daniel (2015-05-13). "The Homological Nature of Entropy". Entropy. 17 (5): 3253–3318. Bibcode:2015Entrp..17.3253B. doi:10.3390/e17053253. ISSN 1099-4300.
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