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6

Humans actually exhibit both slow and fast learning and they have somewhat different properties. One distinction is between "declarative" memory (for example, facts like "tigers have stripes" or "Paris is the capital of France") and "procedural" learning (such as perceptuo-motor skills like riding a bike or playing a musical instrument). Declarative memory ...


-1

The question is slightly confused I feel, so I am not sure there is a good answer. Neural network models are evolutionary and so possibly analogous to the evolution of the human brain (where learning takes place extremely slowly), not to simple human learning. The brain does not learn skills by evolving a neural network to perform that skill (that would ...


2

Personality and individual differences research has a range of constructs that relate to what you are talking about: conservatism or fear of uncertainty seems relevant Low levels of openness to experience You seem to describing a "type" of individual. However, a multidimensional continuous approach is probably a better model of individual differences. ...


4

You are asking two different questions in your title and the text. I will answer the text question, explain why you are asking two different questions, and comment on the title question. The human mind seems to have some sort of relational structure for how it works with ideas. This is usually study in the domain of memory via free recall. In a free recall ...


0

This is more of a comment than an answer. In fact it's more of an advice. Higher-order thinking and inductive reasoning have rather vague definitions, in my mind. They seem to also come from different backgrounds. If you don't mind, I think it's easier to approach your situation rather than your question. You might find it refreshing to think of ...


5

The probability of conjunctive events (all six tosses are heads) are overestimated, relative to a single event of similar overall probability. This result has been shown by Paul Slovic, in an experiment that is described in its abstract as follows: This study examined the effects on the attractiveness of a gamble, of manipulating the number and ...


5

I believe these questions are dealt with by "support theory," the seminal publications being: Tversky, A., & Koehler, D. J. (1994). Support theory: A nonextensional representation of subjective probability. Psychological Review, 101(4), 547-566. Rottenstreich, Y., & Tversky, A. (1997). Unpacking, repacking, and anchoring: advances in support ...


5

Now that @ofri has presented a good argument for physics, I'll give a few arguments for the benefits of a course in maths, and particularly a math course that focuses heavily on statistics. There are many areas of psychology where a good understanding of statistics is very helpful. Statistics is particularly useful in psychometrics, mathematical ...


8

I would go with Physics. Physicists study the world using mathematics, while mathematicians study mathematics itself which is a construct that does not necessarily exist in the real world (Albert Einstein once said: "as far as the laws of mathematics refer to reality, they are not certain; and as far as they are certain, they do not refer to reality."). ...


1

A few thoughts: I think of higher order thinking as a fuzzy concept. It is often used in educational psychology to between surface and deeper levels of subject engagement. It can also be used to discriminate between the kinds of thinking processes often seen as unique to humans. Inductive reasoning is also a multifaceted construct, but it has both rich ...



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