Due to the past
tP and the future
tF being divided into a pair of opposing times by the now
tN, the generation mechanism of the contradiction is attributed in this paper as the process in which the time
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Due to the past
tP and the future
tF being divided into a pair of opposing times by the now
tN, the generation mechanism of the contradiction is attributed in this paper as the process in which the time increment Δ
t and Δ
t’ are transmitted from the past
tP and the future
tF to the present moment
tN, respectively, and then reverse each other. The category and topos of time contradictorily constructed by the mechanism is discussed. It is shown that not only can the laws of the “Unification of Opposites”, “Mutual change of Quality and Quantity” and “Negation of negation” of the contradiction be represented in this form of category, but some of classic constructions appearing in the fields of mathematics, physics, logic, life, nerves, thinking, and intelligence can also be considered as morphosm- or pattern-induced and emerge via this mechanism as well. On the other hands, a series of concepts, models, and algorithms for noetic science, such as the attribute conjunctive monoid category (ACMC), attribute reasoning lattice category (ARLC), attribute coordinate system (ACS), attribute coordinate analysis method based on the learning of ACS for perception, cognition, and decision-making (ACAM), qualitative (conversion degree) mapping from quantity to quality (QM), attribute grid computer based on qualitative mapping, qualitative criteria transformation (AGC), etc., which have been verified through corresponding experiments, have been proposed, so that not only a set of attribute theory methods from perception to cognition and thinking have been constructed, but the synthetized framework of “Quantitative ⨂ Fixed Image ⇒ Qualitative”, called “Framework of Syntenic Three Approaches” (FSTA) can also be induced. It is possible to provide an alternative reference path and technical solution for noetic science and open complex giant systems because FSTA is consistent with the framework of “Quantitative Intelligence ⨂ Fixed Image Intelligence ⇒ Qualitative Intelligence (Meta Synthetic Wisdom)”, as proposed by Hsue-shen Tsien.
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