change is not just inevitable, it is essential to us as humans.
In the face of change we have these options: ignore it, grow with it, or drive it.
Problems can be sorted into two basic categories: algorithmic: problems with a known solution, or an established process that leads to a single right answer heuristic: problems without a known solution We can approach these problems in two ways: proactive: before a problem arises reactive: after a problem occurs
By crossing the nature of the problem (algorithmic or heuristic) with the approach to the problem (proactive or reactive), we end up with four different situations: formulaic problems, maintenance issues, predicaments, and opportunities (see Figure 1).
we consider a problem to be any puzzle in search of a solution.
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