A Qualified Kolmogorovian Account of Probabilistic Contextuality

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Abstract

We describe a mathematical language for determining all possible patterns of contextuality in the dependence of stochastic outputs of a system on its deterministic inputs. The central principle (contextuality-by-default) is that the outputs indexed by mutually incompatible values of inputs are stochastically unrelated; but they can be coupled (imposed a joint distribution on) in a variety of ways. A system is characterized by a pattern of which outputs can be "directly influenced" by which inputs (a primitive relation, hypothetical or normative), and by certain constraints imposed on the outputs (such as Bell-type inequalities or their quantum analogues). The set of couplings compatible with these constraints determines the form of contextuality in the dependence of outputs on inputs. © 2014 Springer-Verlag Berlin Heidelberg.

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Dzhafarov, E. N., & Kujala, J. V. (2014). A Qualified Kolmogorovian Account of Probabilistic Contextuality. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8369 LNCS, pp. 201–212). Springer Verlag. https://doi.org/10.1007/978-3-642-54943-4_18

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