First Python Note: Why I Started TKGwithPython
On this blog("TKG with Python"), I will write about what I thought with Python.
print("Hello, world!\nThis is TKG!")
Difference between Type Stack (S) and Type Queue (Q)
Difference between Type Stack (S) and Type Queue (Q) In this post, I explore the relationship between two learning types—Stack (S) and Queue (Q)—and their outcomes. Here, “Stack” and “Queue” are programming-inspired metaphors: S-type persons learn in a stack-like way, relying on memory, while Q-type persons learn in a queue-like way, relying on an internal image generator. In terms of abstraction, Learning Type (S or Q) is a higher-level concept, Integrated Learning Result is a mid-level concept, and Learning Result is a lower-level concept. For example, we might consider trust as an integrated learning result (a form of social capital), while money can be seen as a measurable outcome derived from that trust. In my code, the parameter b = 0.9 is introduced as an initial-condition bias, reflecting the influence of family inheritance and economic background. The horizontal axis is scaled so that x = 1.0 corresponds to 10 years of life, a scale derived from empirical observation...
