Skip to main content

Problem-Solving Rules

 Problem-Solving Rules. Few of us solve math or engineering problems in our lives. Yet, for almost all of us, problem-solving is a way of life, No matter whether they be problems at home or in the board room, this is what we do most of the time. It is important to know that high-information and low-information problems can be the worst, the former because of the rigor required to solve them, and the second because often assumptions or intuition are needed to proceed. 

These rules are for everyday problems outside of science, where the rules are more rigorous, but more straightforward. Everyday problems are usually more difficult, in that multiple solutions are possible. 

Review and assess all information available. 

Always state clearly the problem to be solved. Vagueness is not allowed. 

Use only accepted methods. No “miracles” are permitted. 

Eliminate personal desires and emotions in your analysis, if possible.

Never solve the given problem by creating a new and larger problem.

Form your solutions and completely check all criteria are accommodated. 

Track your solution back to original facts if possible.

Check and then re-check your solution. 

Important. Problem-solving is rarely linear, as in following the bullets above from top to bottom. Beware of unintended consequences, hence the advice "check and re-check."




Comments

Popular posts from this blog

Behavioral Science and Problem-Solving

I.                                       I.                 Introduction.                Concerning our general behavior, it’s high about time we all had some understanding of how we operate on ourselves, and it is just as important how we are operated on by others. This is the wheelhouse of behavioral sciences. It is a vast subject. It touches our lives constantly. It’s influence is pervasive and can be so subtle we never notice it. Behavioral sciences profoundly affect our ability and success at problem-solving, from the elementary level to highly complex wicked problems. This is discussed in Section IV. We begin with the basics of behavioral sciences, Section II, and then through the lens of multiple categories and examples, Section III. II.     ...

Where is AI (Artificial Intelligence) Going?

  How to view Artificial Intelligence (AI).  Imagine you go to the store to buy a TV, but all they have are 1950s models, black and white, circular screens, picture rolls, and picture imperfect, no remote. You’d say no thanks. Back in the day, they sold wildly. The TV was a must-have for everyone with $250 to spend* (about $3000 today). Compared to where AI is today, this is more or less where TVs were 70 years ago. In only a few decades AI will be advanced beyond comprehension, just like TVs today are from the 50s viewpoint. Just like we could not imagine where the video concept was going back then, we cannot really imagine where AI is going. Buckle up. But it will be spectacular.    *Back then minimum wage was $0.75/hr. Thus, a TV cost more than eight weeks' wages. ------------------------- 

Fake News

If you've been following the news the last couple of days, you will note the flurry of copy devoted to fake news.  Both sides are blaming whatever has befallen them the consequence of fake news.  Let's look at this phenomenon a bit.    When I was a student years ago, a friend climbed some mountain in Peru.   A article was written in the local newspaper about the event.   In only three column inches, the newspaper made about six errors.   An easy article to write you say?   Just interview and reproduce.   Yet so many errors?   The question is this: was this fake news or bad reporting?   The idea here is that fake news comes in various flavors. Bad reporting – errors made by the author or editor Opinion presented as news     Deliberate creation of falsehoods to favor a point of view       The reporting of selected truths to favor a particular point of view Now we have the big social media ...