Contextuality and Informational Redundancy

: Dzhafarov Ehtibar N, Kujala Janne V

Publisher: MDPI

: Basel

: 2023

: Entropy

: Entropy (Basel, Switzerland)

: Entropy (Basel)

: 6

: 25

: 1

: 1099-4300

DOI: https://doi.org/10.3390/e25010006

: https://doi.org/10.3390/e25010006

: https://research.utu.fi/converis/portal/detail/Publication/178535931

A noncontextual system of random variables may become contextual if one adds to it a set of new variables, even if each of them is obtained by the same context-wise function of the old variables. This fact follows from the definition of contextuality, and its demonstration is trivial for inconsistently connected systems (i.e., systems with disturbance). However, it also holds for consistently connected (and even strongly consistently connected) systems, provided one acknowledges that if a given property was not measured in a given context, this information can be used in defining functions among the random variables. Moreover, every inconsistently connected system can be presented as a (strongly) consistently connected system with essentially the same contextuality characteristics.

entropy-25-00006.pdf