COGNITIVE MODEL OF VARIABILITY IN NEGATIVE BREEDING INDICATORS.
Authors: S. U. Zhanatauov ; R.B. Seitkamzina
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The article developed a Cognitive model of variability of indicators of negative selection, based on a mathematical model of variability of 2 sets of p uncorrelated valid, and 2 sets of q+p correlated variables with controlled values of variances (calculated and simulated). 2 are analyzed in systems (U66,3,(((v)36,V36,3,)), (V36,3, (((u)33,U36,3,)) modeling valid u- and v-variables. Model calculations of an example of cognitive modeling of values of variability of indicators of negative selection by P. Sorokin have been carried out. The largest values of random variances in pairs of simulated random matrices (((v)33,V36,3,),(((u)33,U36,3,). are considered. For them, the equalities are true: B+TB+=((v)33, A+TA+=(33, V36,3=Z+36,3B+33, U36,3=Z+36,6A+63, (1/36)UTU=((u)33, (1/36)VTV=((v)33, (1/36)UTV=((v)33 ((1/36)UTV=((v)33=(1/36)VTV=((v)33, ((v)33?((u)33). Visualization of the dynamics of change in values (i = 1,…, m) of different pairs of z-variability (Figure 1,…, Figure 7) clearly illustrates the real dynamics of meaning-related variability values.