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Algorithms To Live By

Brian Christian and Tom Griffiths

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The main challenge of memory is organization rather than storage. As you add more data to set of files, your cache swells, and the larger it gets, the slower it is to locate items. This also applies to humans, young and old. The more info you have on a subject, the longer it takes you to retrieve and process relevant info.

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So, as you get older, your brain is filling up with more and more data, and the retrieval process gets slower and more prone to error. You're not senile, you've simply crammed your cache too full to function efficiently. A lot of what we call decline is actually just learning.

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"What would you do if all jobs paid the same?"

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If a problem is too complex, try solving a simplified version, and see if that shows you a starting point for working on the complex one.

You don't have to do anything. You can do whatever you like, BUT need to realize there are consequences. An optimizing problem has 2 components - the rule and the outcome. This impacts prob solving if you stop and consider what would happen if you 'broke' the rule a little bit. If the best seating arrangement of a restaurant table was 10 guests, how much inconvenience if added 2 more people?

Peter Principle that every worker rises to level of incompetence, and then is stuck there. Logically this means that every position in a company is filled by incompetents.

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