When analyzing a situation it may not be possible to see something coming if it is "over the horizon". The term of horizon effect is most often used in artificial intelligence when modeling games such as chess or in prognostic models.


(1) An outcome analysis is being performed.

(2) The depth of the analysis is limited because of combinatorial explosion, computational limitations, available time, or other factor.

(3) A significant outcome is not detected because it occurs at a level beyond the depth of the analysis.


The unforeseen outcome may be positive or negative.



(1) what appears to be a preferrable approach based on available information may fail in practice.

(2) it may be possible to increase the depth of analysis by choosing a different approach

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