PrepTest 83, Section 2, Question 20
Computer modeling of reasoning tasks is far easier than computer modeling of other cognitive tasks, such as the processing of sense images. Computers can defeat chess champions, but cannot see. So, it appears that we understand the analytical capabilities of our minds much better than we understand our senses.
Computer modeling of reasoning tasks is far easier than computer modeling of other cognitive tasks, such as the processing of sense images. Computers can defeat chess champions, but cannot see. So, it appears that we understand the analytical capabilities of our minds much better than we understand our senses.
Computer modeling of reasoning tasks is far easier than computer modeling of other cognitive tasks, such as the processing of sense images. Computers can defeat chess champions, but cannot see. So, it appears that we understand the analytical capabilities of our minds much better than we understand our senses.
Computer modeling of reasoning tasks is far easier than computer modeling of other cognitive tasks, such as the processing of sense images. Computers can defeat chess champions, but cannot see. So, it appears that we understand the analytical capabilities of our minds much better than we understand our senses.
Which one of the following principles, if valid, most helps to justify the reasoning above?
The degree of difficulty of constructing computer models of cognitive tasks is a good index of the degree of difficulty of performing those tasks.
The better we understand a computer's ability to perform a type of task, the better we will understand our own ability to perform it.
A computer's defeat of a chess champion should count as an indication that the computer possesses true intelligence.
The less difficult it is to construct a computer model of a process the better understood is that process.
We should not underestimate the usefulness of computer modeling to the study of human cognition.
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