1 upvotes, 1 direct replies (showing 1)
Machine learning algorithms have memory of past events and they are able to learn from their mistakes and successes of the past to improve their ability to classify or predict things. They are widely used in our society. There is no free will involved in their decision-making, it's just computer programming that is executed line by line sequentially. Really, AI doesn't have to be very sophisticated in order to do this. Even insects, like cockroaches and honeybees, have memory and learning capability, notwithstanding their tiny brains.
Comment by diogenesthehopeful at 16/09/2024 at 06:01 UTC*
1 upvotes, 0 direct replies
the question I have is will the algorithm work without a random number generator in the work flow and if there is "random" there is that element that I need to see in order to make learning possible.
What a lot of empiricists on this sub don't seem to get is that deduction is a narrowing down process and if there is only one possible outcome, then there is nothing to narrow down as we make some determination.
edit: In the 2+2=4 example, I can use induction to say every time I count two apples and two more apples I count four apples and wonder if the next time it will be five, or I can use the mathematical deduction method and understand that I don't have to count any apples if I already know that 2+2 necessarily equals 4. Formal logical deduction is more powerful than than many empiricists are willing to acknowledge.