Why it matters: Describes the approach of taking computational algorithms and applying those in our own lives for guidance. A bit hard to get through at some pieces with meaty math equations to consider. But for the most part; stunningly enlightening and it generates a lot of philosophical advice taken from computer science.

#Things to consider

  1. Explore when you will have time to use the resulting knowledge, exploit when you’re ready to cash in. The interval makes the strategy. In general, it seems that people tend to over-explore—to favor the new disproportionately over the best.
  2. Every time you switch tasks, you pay a price, known in computer science as a context switch.
  3. Some problems are better avoided than solved.
  4. We refer to things like Google and Bing as “search engines,” but that is something of a misnomer: they’re really sort engines.
  5. The truncated top of an immense, sorted list is in many ways the universal user interface.