Suppose that a student is thinking about committing plagiarism by turning in a paper written by someone else and falsely claiming that it is their own work. However, after remembering a discussion of Kant’s Groundwork, they think: “I’m tempted to plagiarize because a good grade would help me get a good job or get into grad school. But if everyone did that, then getting good grades would not help someone get a good job or get into grad school, since no one would then take grades as a sign of ability or effort.” The student is most plausibly interpreted as describing _____.

State the universal law formulation of Kant’s categorical imperative, then explain it and how it applies to the maxim of making false (i.e., lying) promises in order to get money. First, what scenario should we imagine with regard to the maxim? Second, what are the two kinds of contradiction that might emerge when we consider that scenario? Finally, which kind of contradiction (if any) does Kant think arises in this case? Explain Kant’s reasoning. (If relevant, you can use either the practical interpretation or the logical interpretation of Kant’s account; you need not describe both.)

Kant describes three kinds of imperatives: (1) hypothetical imperatives, (2) the imperative of prudence, and (3) categorical imperatives. Explain each kind of imperative and give an example of each. Be sure to explain: How is a categorical imperative different from a hypothetical imperative? How is the imperative of prudence different from (other) hypothetical imperatives?

Like Mill but unlike Ross, Kant argues that _____.

A 1 200-kg automobile moving at 25 m/s has the brakes applied with a deceleration of 8.0 m/s 2. How far does the car travel before it stops?

A horizontal force of 100 N is applied to move a 45-kg cart across a 9.0-m level surface. What work is done by the 100-N force?

What is the kinetic energy of a 0.135-kg baseball thrown at 40.0 m/s (90.0 mph)?

Which of the following techniques is used to recommend items based on their content similarity in content-based filtering?a) Collaborative Filteringb) Cosine Similarityc) Matrix Factorizationd) Singular Value Decomposition (SVD)

Which part of the neural network helps transfer the processed data across layers to produce the final output?

Which two parameters define a Gaussian (Normal) distribution?