It has been investigated that mathematical and programmatic concepts are learned in embodied expressions of children (Almjally et al., 2023). To this end, there seems to be an optimized seeking behavior in martial wisdom in the application of accurate (i.e., valid) and precise (i.e., reliable) applications of torque which leaves an individual resolving a continually shifting resource and public goods dilemma where the principle resource in these dilemmas is [REDACTED]. It is less important to apply torque along fixed paths (i.e., rigid equation), and more important to apply torque along changing paths (i.e., fluid equations).
Considering this post, it is efficacious to explore antecedent properties for colleague interpretation. Upon sitting at the desk this evening, prior to entering two discussion posts for a course on modern history of psychological theorists and paradigms, and a course on a current-ish psychology of motivation, there was a discussion of feelings, thoughts, and behaviors in response to cognitions regarding separation from a significant other of great importance. The curious thing is that this antecedent behavior, followed by nourishment of Indian cuisine seems to have setup the requisite conditions for a subsequent spark of insight regarding search algorithms in martial arts.
The initial insight was that there had been developed a B-tree sort algorithm, and other algorithms within which martial behavior is manifest. The ability to sense had been sufficiently conditioned in dark environments (i.e., situations) when needs were being driven toward homeostasis (e.g., finding food, finding the way back to the bedroom, finding a safe route through the house). This behavior generalized to human relations in that the behavior to navigate changing intimate social relations had taken on characteristics of patternless search algorithms. Yet search algorithms may yet manifest patterns in the search behaviors due to the algorithm itself. These patterns, therefore, result in some aspect of predictability in that the algorithm is fixed.
Early in the dojo, when there were sufficient members to form a critical mass [REDACTED].
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An example is the B-Tree sort algorithm, wherein an index (i.e., B-Tree Index) may be used to accelerate search behaviors to arrive at “finding kuzushi” at O log(n). The speed at finding the orientation within which torque is applied relates to an individual’s sensory-cognitive-motor ability to find said orientations. Incidentally, B-Tree Indexes remain not only efficacious, but effective in “real-world” scenarios, as these implementations are standard index implementations in computer science problems (Makagon, 2017). The ability to implement isomorphic mapping of other- and self-configurations in vector spaces of kinematics of physiology and movements of psychology in near-realtime is critical. It is in the author’s opinion therefore that a martial artist does not simply recreate an isomorphic map in a 1:1 correspondence with other-cardinality to a similar cardinality reflected neurally.
The martial artist indexes real time sensations along a knowledge graph as informed by kuzushi and by potential for psychological progression toward pro-social behavior. The entire being of a martial artist therefore applies effort to offer behavior modification which, like a pouring of a cup from one container to another, allows psychic energy to move from [REDACTED]. This isomorphic mapping process is informed less by form and more by experience with varying forms, much in the way of children performing random movements which due to respondent and operant conditioning, along with observational learning and extinction etc., forms a repertoire that may or may be aligned with display rules of expectancies of individuals interjecting and internalizing prototypes of said repertoires (as a result of [REDACTED]).
Reference
Almjally, A., Howland, K., Good, J., & du Boulay, B. (2023). Investigating primary school children’s embodied expression of programming concepts. International Journal of Child-Computer Interaction, 36, 100574. https://doi.org/10.1016/j.ijcci.2023.100574
Makagon, K. (2017). Designing data-intensive applications: The big ideas behind reliable, scalable, and maintainable systems. O’Reilly Media, Inc.