  The paper describes an algorithm for semantic representation of behavioral
contexts relative to a dichotomic decision alternative. The contexts are
represented as quantum qubit states in two-dimensional Hilbert space visualized
as points on the Bloch sphere. The azimuthal coordinate of this sphere
functions as a one-dimensional semantic space in which the contexts are
accommodated according to their subjective relevance to the considered
uncertainty. The contexts are processed in triples defined by knowledge of a
subject about a binary situational factor. The obtained triads of context
representations function as stable cognitive structure at the same time
allowing a subject to model probabilistically-variative behavior. The developed
algorithm illustrates an approach for quantitative subjectively-semantic
modeling of behavior based on conceptual and mathematical apparatus of quantum
theory.
