- #246
lodbrok
- 80
- 84
Try to define it mathematically, and you'll see the problem immediately. But logically, a lack of predictive ability is equivalent to a lack of knowledge. What you call a "statistical uncertainty score" is what I would call a "probability". The WHY is already included. You can't predict it because you don't know how to do it.Fra said:Uncertainty ~ Is a measure of (an obsevers/agents) predictive abiliy, typically measured by some "statistical uncertainty" score, say some confidence interval as per some confidence level, in predicting the future (for example the outcome of an experiment), or the responses from the environment. But without specifying WHY.
Ignorance - supposedly indicates that the explanation of lack of certainty/confidence is because the agent/observer is uninformed but where we at least in principle could have been informed. Ie that the information it needs is in principle information theoretically and computationally accessible in a given time scale.
Not knowing how to do it is Ignorance. Therefore "uncertainty NOT due to ignorance" is contradictory. Uncertainty means ignorance.