can make more complex decisions based on unexpected circumstances
can work in harsher environments
make fewer errors
(a) and (c) E. None of the above
Answer is Right!
Answer is Wrong!
The correct answer is: D. (a) and (c)
Machines can make more complex decisions based on unexpected circumstances because they are not limited by the same cognitive biases and heuristics that humans are. They can also work in harsher environments because they are not susceptible to fatigue, boredom, or other human limitations. However, machines are not perfect and can still make errors, especially when they are not properly programmed or when they are faced with new or unexpected situations.
Here is a brief explanation of each option:
- Option A: Machines can make more complex decisions based on unexpected circumstances. This is because machines are not limited by the same cognitive biases and heuristics that humans are. For example, a machine can easily calculate the risk of a particular investment, even if the investment is very complex. A human, on the other hand, might be more likely to make a mistake because they might be biased towards certain investments or because they might not be able to understand all of the risks involved.
- Option B: Machines can work in harsher environments. This is because machines are not susceptible to fatigue, boredom, or other human limitations. For example, a machine can easily work in a very hot or cold environment, or in an environment that is full of dust or other contaminants. A human, on the other hand, might not be able to work in these environments for long periods of time.
- Option C: Machines make fewer errors. This is because machines are not subject to the same human errors as humans are. For example, a machine is not likely to make a mistake when calculating a complex equation, or when following a set of instructions. A human, on the other hand, is more likely to make a mistake, especially if they are tired or under pressure.
- Option E: None of the above. This is because machines are not perfect and can still make errors, especially when they are not properly programmed or when they are faced with new or unexpected situations.