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Integration, Information Thresholds, and Arrangement in\ud Mindamic: A Probabilistic Causation Analysis

Abstract

The objective of the research was to scrutinize probabilistic\ud causalities between integration, information thresholds, and\ud arrangement in mind dynamic. Data obtained from videotaped\ud sessions with structured observation. The participants had to\ud accomplish four tasks. The participants were 39 females, and 83\ud males. Reliability and validity assessed as probabilities. The\ud frequencies converted into probability matrices, and sampling\ud without replacement was necessary. Thereafter, a causal state\ud space originated, and maintained through Householder matrices.\ud The Bayes formula with joint distributions in a matrix form\ud applied to result in the start matrix for the causal dynamic.\ud The reduced start array matrix powered from 1 to 6. There are\ud the probabilistic causalities between the integration, the\ud thresholds, and the arrangement. Theoretic results show. It is\ud the entire mind of the persons strives to form patterns for the\ud causal functioning, continuously. Furthermore, the whole mind\ud conveys mental contents under the same patterns. The patterns\ud remain but the contents of the processes differ during the\ud mindamic

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