> I really didn't read your original comment as talking about philosophical zombies. Is that what you really meant, or is your new comment a play on words? Plea

> I really didn't read your original comment as talking about philosophical zombies. Is that what you really meant, or is your new comment a play on words? Please excuse my confusion. No worries - p-zombie is definitely what I meant by “zombie”. > I don't understand what you mean by "GOFAI systems are just ANN engrams" > I don't understand "ANN engrams" anyway. So, in psychology, there was and is a tradition of understanding where in the brain any given thing exists. For example, what specific neurons or groups of neurons are responsible for individual memories, thoughts, concepts, etc. They call that location the “engram”. https://en.wikipedia.org/wiki/Engram_%28neuropsychology%29 https://en.wikipedia.org/wiki/Engram_%28neuropsychology%29 What I’m trying to say is that with a complex enough neural architecture, one would be able to conduct the same engram investigations on an ANN. > so clearly neural networks do not need to be "statistical" Eh, I’m not an expert (just a bachelor), but I generally agree. Some (all?) artificial neurons may need to be statistical functions over a sample space. However, some (many?) artificial glia may not need to be statistical functions over a sample space. An artificial glia’s sample space might simply be the artificial neurons, themselves, rather than the direct stimuli, if an artificial glia were to be programmed using statistical functions. https://en.m.wikipedia.org/wiki/Glia https://en.m.wikipedia.org/wiki/Glia > Who knows. This is only a conjecture, currently. Indeed :/ it’s something that I’ve been thinking about for a while, but I’m a busy software development professional, not a professional academic. I’ve got to run some errands for the day, but I would be stoked to continue this conversation. Perhaps we can build up some sort of testable conjecture.