Values as Vectors

Daniel Muñoz (University of North Carolina, Chapel Hill)

I defend a new kind of value theory that represents values not as single numbers or intervals, but as many-dimensional vectors. With vectors, we can define Chang’s concept of parity, deepen Rabinowicz’s fitting attitudes account of betterness, and rigorously model failures of transitivity, such as in cases of “sweetening.” The result is a fresh and flexible framework for the stranger side of ethics, based not on sui generis relations, but multidimensional values.