3
$\begingroup$

AI algorithms, specifically in industries, can be used to work and manipulate the data to estimate or learn this data to achive a solution or prepare trained data to feed that into an optimization model.

On the other hand, the simulation techniques, especially discrete-event and Mont-Carlo, use almost the same data, e.g. number of failures in a specific station in the production line, to either estimate a function to robust some parameters as a final solution or feed these parameters into an optimization model. And already investigate the behavior of the complex system in a dynamic scheme with an appropriate feedback.

Now my question is, what exactly is the main difference between an AI method and a simulation technique for example to estimate the failures or production utilization?

Improve this question
$\endgroup$
2
  • 5
    $\begingroup$ The main difference is hype. ""When we raise money it’s AI, when we hire it's machine learning, and when we do the work it's logistic regression."" twitter.com/daniela_witten/status/1177294449702928384 $\endgroup$
    – Mark L. Stone
    Commented Aug 28, 2023 at 10:42
  • 1
    $\begingroup$ Dear @MarkL.Stone, Thanks for your reply. Would you please, add your comment as an answer. $\endgroup$
    – A.Omidi
    Commented Aug 29, 2023 at 4:53

1 Answer 1

Reset to default
5
$\begingroup$

The main difference is hype.

Here is a quote tweeted by University of Washington Statistics Professor Daniela Witten in 2019, attributed to source unknown, which captures the spirit:

When we raise money it’s AI, when we hire it's machine learning, and when we do the work it's logistic regression.

Basically, most of O.R. could be considered to be AI.

Improve this answer
$\endgroup$
3
  • 1
    $\begingroup$ Dear @MarkL.Stone, thank you so much. $\endgroup$
    – A.Omidi
    Commented Aug 29, 2023 at 10:37
  • 2
    $\begingroup$ Here is something (renewal paradox, a.k.a. inspection paradox, a.k.a. length-biased sampling.) which would elude the average AI or Computer Science person doing simulation. or.stackexchange.com/questions/6723/… . Perhaps we need ASI or AST (Artificial Stochastic Intelligence or Artificial Stochastic Thinking), which seems to be absent from the AI now being used in the real world. ASI or AST would be cognizant of these phenomena. $\endgroup$
    – Mark L. Stone
    Commented Aug 29, 2023 at 15:02
  • $\begingroup$ I saw this post, but this point of view and actually ASI and AST are fascinating. Thanks for mentioning that. $\endgroup$
    – A.Omidi
    Commented Aug 30, 2023 at 5:14

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.