tterns in objects to somehow use this stored knowledge to reach conclusions. This theory explains why we can't define an object like a tree exactly no such ordered definition exists in our minds. This inherent impreciseness also reveals how we can lose to a calculator on a precisely ordered math problem, yet can make intuitive leaps and associate similar but not exact patterns ("Mimicking the Human Mind" 50). Yet another benefit from this ability to make judgements from partial patterns is that we can react and make decisions in situations we have never experienced before by applying rules developed from similar experiences in our pasts. As this sequence repeats itself, we continue to accumulate new experiences for future use and discover how to apply them more effectively in the future, a process we call learning.
~~ Since computers that were able to solve problems as humans do
would be able to solve random problems, a feat conventional
...