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In any field, experience is required for a proficient person to become an expert. ███████ ███████████ █ ██████████ ██████ █████████ ████████ █ █████████ ██ █████ ██████████ ████ ██████ ██ ██████████ █████████ ████████ ██ ████ ███ ██████████ ████ ██ ███ ████████ ██ ██████████ ███ ███ ████ ██████ ████████████ ███████ ████████ ██████ ██ ██ ████ ██ █████ ████████ ████████ █████████ ████ ███ ███████ ██ █████ ████████ ██ ████ ██ ████████████ ███ █████████ ██ █████ ████████ ███ ███████ ████ ███ ██████████ ██ █████████ ██ ███████████ ██ ███ ██████ ██████ █████ ██████ ██ ███ ████ ██ █████ ███ ██████
Summary
The author concludes that computers cannot be as good as human experts.
Why?
Because experts, through experience, develop a collection of model situations that allows an immediate, intuitive response to a new situation.
In addition, the knowledge of human experts is not stored within their brains in the form of rules and facts.
Notable Assumptions
The author assumes that computers cannot develop a collection of model situations that allows an immediate, intuitive response to a new situation.
The author assumes that computers cannot store experience if it is not in the form of rules and facts.
6.
The argument requires the assumption ██ █████ ███ ██ ███ ██████████
a
Computers can show ██ ████ ███████████ ██ ██████████ ██ █ █████████ ████ ████ █████ ████ ████ ██ █████ ██████████
b
The knowledge of █████ ███████ ██████ ██ ██████████ ████████ ████ ███ ████ ██ ███████████ ████ █ ████████ ███ ██████
c
Human experts rely ██ ███████████ ████ ███ ██ █████████ ██ █████ ███ █████ ████ ████ ███████ ██ ███ ███████████
d
Future advances in ████████ ██████████ ████ ███ ██████ █████████ ███████ ██ ███████ ███████ ███████ ███████ ██ ████████████
e
Human experts rely ███████ ██ █████████ █████ ████ ███ ██████████ █ █████████ ██ █████ ███████████