Brief Metacognition
Tuesday, December 1st, 2009Very, very busy but the following two items struck me as useful advice for sharpening our mental edges.
First, John Robb linked to a series of posts by Eric Drexler of Metamodern. Al of them were good but I particularly liked the following one:
How to Understand Everything (and why)
….Formal education in science and engineering centers on teaching facts and problem-solving skills in a series of narrow topics. It is true that a few topics, although narrow in content, have such broad application that they are themselves integrative: These include (at a bare minimum) substantial chunks of mathematics and the basics of classical mechanics and electromagnetism, with the basics of thermodynamics and quantum mechanics close behind.
….To avoid blunders and absurdities, to recognize cross-disciplinary opportunities, and to make sense of new ideas,
requires knowledge of at least the outlines of every field that might be relevant to the topics of interest. By knowing the outlines of a field, I mean knowing the answers, to some reasonable approximation, to questions like these:
What are the physical phenomena?
What are their magnitudes?
What are their preconditions?
How well are they understood?
How well can they be modeled?
What do they make possible?
What do they forbid?And even more fundamental than these are questions of knowledge about knowledge:
What is known today?
What are the gaps in what I know?
When would I need to know more to solve a problem?
How could I find it?It takes far less knowledge to recognize a problem than to solve it, yet in key respects, that bit of knowledge is more important: With recognition, a problem may be avoided, or solved, or an idea abandoned. Without recognition, a hidden problem may invalidate the labor of an hour, or a lifetime. Lack of a little knowledge can be a dangerous thing.
Secondly, reading through Richard Nisbett’s Intelligence and How to Get It: Why Schools and Cultures Count ( see this monster, two-part, book review by James McCormick at Chicago Boyz), the intriguing findings of the “Venezuela Project” run by none other than the late Richard Herrnstein of Bell Curve
fame. Nisbett writes (74-75):
Herrnstein and his coworkers devised a very advanced set of materials geared to teaching seventh-graders fundamental concepts of problem solving that were not targeted to any particular subject matter. In effect they, they tried to make the children smarter by giving them handy implements for their intellectual tool kits.
What were those non-subject specific, cognitive skills?
- Basics of Classification
- Hypothesis Testing
- Discovery of Properties of Ordered Dimensions
- Analogies
- Simple Propositions
- Principles of Logic
- Constructing and Evaluating Complex Arguments
- Weighing opportunity costs vs. probability of success for a goal
- Evaluating credibility and relevance of data
I would have added metaphors, pattern-recognition and intuitive thinking games but it was a fine set of skills and the results were remarkable, according to Nisbett:
The instruction resulted in big changes in children’s ability to solve problems that the new skills were designed to improve….for language comprehension, .62 SD [ standard deviation]; for learning how to represent ‘”problem spaces,” .46 SD; for decision making, .77 SD; for inventive thinking, .50 SD. In short, general problem solving skills can be taught, and taught moreover in a brief period of time.
In psychometric terms, for a 13 year old, these scores represent phenomenal improvements in cognitive performance and indicate the plasticity of some aspects of measured intelligence. Why have such activities not become commonplace in public schools? Or universities?
Why indeed?
requires knowledge of at least the outlines of every field that might be relevant to the topics of interest. By knowing the outlines of a field, I mean knowing the answers, to some reasonable approximation, to questions like these:
channel and get things done by going from one thing to another. But A.D.D. minds tend to be very synthetic. They reach out and pull things out of the air, or through other persons who are not linked in any way. They see patterns that other people don’t see. They can gather together unusual elements and bring them together into a whole that is a brilliant synthesis of things that would be lost on other people.
A parallel effort to map – or reverse engineer – the human brain is going to give robotics experts inspiration that will allow them to create these advanced models, researchers at the conference said.The National Academy of Engineering is spearheading this “Grand Challenge.” Just as researchers successfully mapped the human genome earlier in the decade, the engineering community – not normally thought of as being a part of the life science discipline – says there will be a clear benefit to a Herculean effort to figure out exactly how the human mind works.“If we could determine the software of the human brain, we could embed all sorts of systems so as to provide human like quality for machines,” said John Parmentola, director of research and laboratory management at the Army office of the deputy assistant secretary for research and technology.Neural models will enable robots to better perceive, think, plan and act, said James Albus of the Krasnow Institute at George Mason University, Va.
researchers at the National Institute of Mental Health (NIMH) of the National Institutes of Health. They found that different brain areas are activated when a person moves up or down in a pecking order – or simply views perceived social superiors or inferiors. Circuitry activated by important events responded to a potential change in hierarchical status as much as it did to winning money.