Earlier quoted context omitted.
You're hand-waving a real problem by asserting rather misanthropic ideas with scant justification. Show some child a cat and ask why it's not a crocodile. They will be able to explain it through the differences in shape, color, behavior and other features of those animals. Whether you consider it post-hoc is unimportant. The explanation is still real and relevant. So people can explain their deliberate reasoning. Als…
Most actions people take are not the result of deliberate reasoning. You may be able to explain why a cat is different than a dog, but your brain doesn't go through that categorization process before recognizing a cat.
We've added instrumentation to our recognition capabilities in order to socialize and gossip about derived categories through language. In addition, we (can sometimes) use the formalized expressions of these categories prepared for socialization to ensure internal consistency.
Artificial neural networks that did something similar could have a number of major philosophical and practical advantages: - enable decentralization of data sets - grow with humans rather than apart from them - enable identifying problematic internal inconsistencies