I’m doing a close reading of this article.
This outline has a few additional comments by me, so it isn’t only trying to represent the article.
CF inspiration outline:
- CR
- we’re fallible.
- we make mistakes and cannot guarantee truth
- learn by critical discussion
- learning is an evolutionary process
- improves by error correction, not positive justification (not adding points)
- we’re fallible.
- TOC
- focus on constraints to achieve goals
- bottlenecks and limiting factors
- most factors have excess capacity
- optimization is wasted on these factors
- local optima vs global optima
- buffers can help you deal with variance
- finding silver bullets using inherent simplicity
- focus on constraints to achieve goals
- Objectivism
- proper learning involves integration and automatization
- limited capacity of active memory/thinking requires that multiple simpler ideas are integrated into a single more complex conceptual unit.
- I think you can also call it abstraction. can think about difference between abstraction and integration
- automatization also helps the limited capacity by taking off load and reducing errors
- happens by practicing
- limited capacity of active memory/thinking requires that multiple simpler ideas are integrated into a single more complex conceptual unit.
- CS
- digital systems are fundamentally better than analog systems at error correction
- proper learning involves integration and automatization
I haven’t started reading past the first heading.
This took 20 minutes.